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Intelligenza Artificiale nella PA: esperienze e
prospettive
Roma, 5 Novembre 2019 h. 9.00-13.30
organizzato e promosso da
...
Fabio Galasso
Computer Vision e Machine Learning; Applicazioni e Sviluppi | 5 November 2019
2
Successes of computer vision...
Fabio Galasso
Computer Vision e Machine Learning; Applicazioni e Sviluppi | 5 November 2019
3
Visual Recognition Tasks
Cou...
Fabio Galasso
Computer Vision e Machine Learning; Applicazioni e Sviluppi | 5 November 2019
4
Progress in Visual Recogniti...
Fabio Galasso
Computer Vision e Machine Learning; Applicazioni e Sviluppi | 5 November 2019
5
Progress in Visual Recogniti...
Fabio Galasso
Computer Vision e Machine Learning; Applicazioni e Sviluppi | 5 November 2019
6
Challenges in Visual Recogni...
Fabio Galasso
Computer Vision e Machine Learning; Applicazioni e Sviluppi | 5 November 2019
7
Promising Research Pathway
•...
Fabio Galasso
Computer Vision e Machine Learning; Applicazioni e Sviluppi | 5 November 2019
8
Outline
• Research backgroun...
Fabio Galasso
Computer Vision e Machine Learning; Applicazioni e Sviluppi | 5 November 2019
9
Outline
• Research backgroun...
Fabio Galasso
Computer Vision e Machine Learning; Applicazioni e Sviluppi | 5 November 2019
10
• 2005-2009
PhD in Engineer...
Fabio Galasso
Computer Vision e Machine Learning; Applicazioni e Sviluppi | 5 November 2019
11
Textures and 3D reconstruct...
Fabio Galasso
Computer Vision e Machine Learning; Applicazioni e Sviluppi | 5 November 2019
12
Label propagation and video...
Fabio Galasso
Computer Vision e Machine Learning; Applicazioni e Sviluppi | 5 November 2019
13
• 2011-2014
PDoc Research A...
Fabio Galasso
Computer Vision e Machine Learning; Applicazioni e Sviluppi | 5 November 2019
14
Video segmentation
ACCV’12,...
Fabio Galasso
Computer Vision e Machine Learning; Applicazioni e Sviluppi | 5 November 2019
15
Clustering with graphs
CVPR...
Fabio Galasso
Computer Vision e Machine Learning; Applicazioni e Sviluppi | 5 November 2019
16
Outline
• Research backgrou...
Fabio Galasso
Computer Vision e Machine Learning; Applicazioni e Sviluppi | 5 November 2019
17
• 2014-2019
R&D Manager
Hea...
Fabio Galasso
Computer Vision e Machine Learning; Applicazioni e Sviluppi | 5 November 2019
18
Business potential
• Light ...
Fabio Galasso
Computer Vision e Machine Learning; Applicazioni e Sviluppi | 5 November 2019
19
Business potential
• Light ...
Fabio Galasso
Computer Vision e Machine Learning; Applicazioni e Sviluppi | 5 November 2019
20
Business potential
• Light ...
Fabio Galasso
Computer Vision e Machine Learning; Applicazioni e Sviluppi | 5 November 2019
21
Occupancy detection for lig...
Fabio Galasso
Computer Vision e Machine Learning; Applicazioni e Sviluppi | 5 November 2019
22
Occupancy detection for lig...
Fabio Galasso
Computer Vision e Machine Learning; Applicazioni e Sviluppi | 5 November 2019
23
From Conception to Market
•...
Fabio Galasso
Computer Vision e Machine Learning; Applicazioni e Sviluppi | 5 November 2019
24
From Conception to Market
•...
Fabio Galasso
Computer Vision e Machine Learning; Applicazioni e Sviluppi | 5 November 2019
25
Marketing AI may require a ...
Fabio Galasso
Computer Vision e Machine Learning; Applicazioni e Sviluppi | 5 November 2019
26
Pick the “Right” Market
• T...
Fabio Galasso
Computer Vision e Machine Learning; Applicazioni e Sviluppi | 5 November 2019
27
VISN
• Optimize the rented ...
Fabio Galasso
Computer Vision e Machine Learning; Applicazioni e Sviluppi | 5 November 2019
28
VISN
• Optimize the rented ...
Fabio Galasso
Computer Vision e Machine Learning; Applicazioni e Sviluppi | 5 November 2019
29
VISN
• Optimize the rented ...
Fabio Galasso
Computer Vision e Machine Learning; Applicazioni e Sviluppi | 5 November 2019
30
A success story
• Recogniti...
Fabio Galasso
Computer Vision e Machine Learning; Applicazioni e Sviluppi | 5 November 2019
31
Outline
• Research backgrou...
Fabio Galasso
Computer Vision e Machine Learning; Applicazioni e Sviluppi | 5 November 2019
32
Forecasting
• Human-robot i...
Fabio Galasso
Computer Vision e Machine Learning; Applicazioni e Sviluppi | 5 November 2019
33
Forecasting
• Human-robot i...
Fabio Galasso
Computer Vision e Machine Learning; Applicazioni e Sviluppi | 5 November 2019
34
Forecasting
• Human-robot i...
Fabio Galasso
Computer Vision e Machine Learning; Applicazioni e Sviluppi | 5 November 2019
35
Also with Forecasting
• Wea...
Fabio Galasso
Computer Vision e Machine Learning; Applicazioni e Sviluppi | 5 November 2019
36
More on the Gaze
Fabio Galasso
Computer Vision e Machine Learning; Applicazioni e Sviluppi | 5 November 2019
37
Head Pose and Motion
People...
Fabio Galasso
Computer Vision e Machine Learning; Applicazioni e Sviluppi | 5 November 2019
38
Head-pose
• Key to people a...
Fabio Galasso
Computer Vision e Machine Learning; Applicazioni e Sviluppi | 5 November 2019
39
When the Head Pose Diverges
Fabio Galasso
Computer Vision e Machine Learning; Applicazioni e Sviluppi | 5 November 2019
40
MX-LSTM
• Use people veloci...
Fabio Galasso
Computer Vision e Machine Learning; Applicazioni e Sviluppi | 5 November 2019
41
MX-LSTM
Social Pooling
• Le...
Fabio Galasso
Computer Vision e Machine Learning; Applicazioni e Sviluppi | 5 November 2019
42
Social LSTM Vs MX-LSTM
Prio...
Fabio Galasso
Computer Vision e Machine Learning; Applicazioni e Sviluppi | 5 November 2019
43
Outline
• Research backgrou...
Fabio Galasso
Computer Vision e Machine Learning; Applicazioni e Sviluppi | 5 November 2019
44
Re-identification
• Find th...
Fabio Galasso
Computer Vision e Machine Learning; Applicazioni e Sviluppi | 5 November 2019
45
Person Search
• Find a quer...
Fabio Galasso
Computer Vision e Machine Learning; Applicazioni e Sviluppi | 5 November 2019
46
Motivation for Person Searc...
Fabio Galasso
Computer Vision e Machine Learning; Applicazioni e Sviluppi | 5 November 2019
47
New State-of-the-art at CVP...
Fabio Galasso
Computer Vision e Machine Learning; Applicazioni e Sviluppi | 5 November 2019
48
Outline
• Research backgrou...
Fabio Galasso
Computer Vision e Machine Learning; Applicazioni e Sviluppi | 5 November 2019
49
Conclusions
• Computer visi...
Fabio Galasso
Computer Vision e Machine Learning; Applicazioni e Sviluppi | 5 November 2019
50
Conclusions
• Computer visi...
Fabio Galasso
Computer Vision e Machine Learning; Applicazioni e Sviluppi | 5 November 2019
51
Conclusions
• Computer visi...
Intelligenza Artificiale nella PA: esperienze e
prospettive
Roma, 5 Novembre 2019 h. 9.00-13.30
organizzato e promosso da
...
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Computer Vision e Machine Learning Applicazioni e Sviluppi Slide 1 Computer Vision e Machine Learning Applicazioni e Sviluppi Slide 2 Computer Vision e Machine Learning Applicazioni e Sviluppi Slide 3 Computer Vision e Machine Learning Applicazioni e Sviluppi Slide 4 Computer Vision e Machine Learning Applicazioni e Sviluppi Slide 5 Computer Vision e Machine Learning Applicazioni e Sviluppi Slide 6 Computer Vision e Machine Learning Applicazioni e Sviluppi Slide 7 Computer Vision e Machine Learning Applicazioni e Sviluppi Slide 8 Computer Vision e Machine Learning Applicazioni e Sviluppi Slide 9 Computer Vision e Machine Learning Applicazioni e Sviluppi Slide 10 Computer Vision e Machine Learning Applicazioni e Sviluppi Slide 11 Computer Vision e Machine Learning Applicazioni e Sviluppi Slide 12 Computer Vision e Machine Learning Applicazioni e Sviluppi Slide 13 Computer Vision e Machine Learning Applicazioni e Sviluppi Slide 14 Computer Vision e Machine Learning Applicazioni e Sviluppi Slide 15 Computer Vision e Machine Learning Applicazioni e Sviluppi Slide 16 Computer Vision e Machine Learning Applicazioni e Sviluppi Slide 17 Computer Vision e Machine Learning Applicazioni e Sviluppi Slide 18 Computer Vision e Machine Learning Applicazioni e Sviluppi Slide 19 Computer Vision e Machine Learning Applicazioni e Sviluppi Slide 20 Computer Vision e Machine Learning Applicazioni e Sviluppi Slide 21 Computer Vision e Machine Learning Applicazioni e Sviluppi Slide 22 Computer Vision e Machine Learning Applicazioni e Sviluppi Slide 23 Computer Vision e Machine Learning Applicazioni e Sviluppi Slide 24 Computer Vision e Machine Learning Applicazioni e Sviluppi Slide 25 Computer Vision e Machine Learning Applicazioni e Sviluppi Slide 26 Computer Vision e Machine Learning Applicazioni e Sviluppi Slide 27 Computer Vision e Machine Learning Applicazioni e Sviluppi Slide 28 Computer Vision e Machine Learning Applicazioni e Sviluppi Slide 29 Computer Vision e Machine Learning Applicazioni e Sviluppi Slide 30 Computer Vision e Machine Learning Applicazioni e Sviluppi Slide 31 Computer Vision e Machine Learning Applicazioni e Sviluppi Slide 32 Computer Vision e Machine Learning Applicazioni e Sviluppi Slide 33 Computer Vision e Machine Learning Applicazioni e Sviluppi Slide 34 Computer Vision e Machine Learning Applicazioni e Sviluppi Slide 35 Computer Vision e Machine Learning Applicazioni e Sviluppi Slide 36 Computer Vision e Machine Learning Applicazioni e Sviluppi Slide 37 Computer Vision e Machine Learning Applicazioni e Sviluppi Slide 38 Computer Vision e Machine Learning Applicazioni e Sviluppi Slide 39 Computer Vision e Machine Learning Applicazioni e Sviluppi Slide 40 Computer Vision e Machine Learning Applicazioni e Sviluppi Slide 41 Computer Vision e Machine Learning Applicazioni e Sviluppi Slide 42 Computer Vision e Machine Learning Applicazioni e Sviluppi Slide 43 Computer Vision e Machine Learning Applicazioni e Sviluppi Slide 44 Computer Vision e Machine Learning Applicazioni e Sviluppi Slide 45 Computer Vision e Machine Learning Applicazioni e Sviluppi Slide 46 Computer Vision e Machine Learning Applicazioni e Sviluppi Slide 47 Computer Vision e Machine Learning Applicazioni e Sviluppi Slide 48 Computer Vision e Machine Learning Applicazioni e Sviluppi Slide 49 Computer Vision e Machine Learning Applicazioni e Sviluppi Slide 50 Computer Vision e Machine Learning Applicazioni e Sviluppi Slide 51 Computer Vision e Machine Learning Applicazioni e Sviluppi Slide 52
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Computer Vision e Machine Learning Applicazioni e Sviluppi

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Fabio Galasso
Sapienza Università di Roma

Computer Vision e Machine Learning Applicazioni e Sviluppi

  1. 1. Intelligenza Artificiale nella PA: esperienze e prospettive Roma, 5 Novembre 2019 h. 9.00-13.30 organizzato e promosso da www.prsmonitor.euwww.di.uniroma1.itwww.miur.gov.it Computer Vision e Machine Learning Applicazioni e Sviluppi Fabio Galasso Sapienza Università di Roma
  2. 2. Fabio Galasso Computer Vision e Machine Learning; Applicazioni e Sviluppi | 5 November 2019 2 Successes of computer vision and machine learning Courtesy of A. Torralba, @ICVSS’18
  3. 3. Fabio Galasso Computer Vision e Machine Learning; Applicazioni e Sviluppi | 5 November 2019 3 Visual Recognition Tasks Courtesy of G. Gkioxari, @ICVSS’18
  4. 4. Fabio Galasso Computer Vision e Machine Learning; Applicazioni e Sviluppi | 5 November 2019 4 Progress in Visual Recognition • Mask R-CNN, best paper award @ICCV’17
  5. 5. Fabio Galasso Computer Vision e Machine Learning; Applicazioni e Sviluppi | 5 November 2019 5 Progress in Visual Recognition • Mask R-CNN, best paper award @ICCV’17 Applied to pose estimation
  6. 6. Fabio Galasso Computer Vision e Machine Learning; Applicazioni e Sviluppi | 5 November 2019 6 Challenges in Visual Recognition • Detection performance • Visual recognition is far from solved Courtesy of G. Gkioxari, @ICVSS’18
  7. 7. Fabio Galasso Computer Vision e Machine Learning; Applicazioni e Sviluppi | 5 November 2019 7 Promising Research Pathway • Deep Neural Networks match the intuition.. and a part of our brain Learning Hierarchical Representations of Object Categories for Robot Vision. Leonardis, Fidler. 2007 Backpropagation Applied to Handwritten Zip Code Recognition. LeCun et al. 1989
  8. 8. Fabio Galasso Computer Vision e Machine Learning; Applicazioni e Sviluppi | 5 November 2019 8 Outline • Research background • Innovation transfer • Research highlights
  9. 9. Fabio Galasso Computer Vision e Machine Learning; Applicazioni e Sviluppi | 5 November 2019 9 Outline • Research background • Innovation transfer • Research highlights
  10. 10. Fabio Galasso Computer Vision e Machine Learning; Applicazioni e Sviluppi | 5 November 2019 10 • 2005-2009 PhD in Engineering • 2009-2011 PDoc Researcher Image sources: https://www.telegraph.co.uk/news/uknews/12045089/Cambridge-University-students-glorify-rape-and-play-stand-up-if-you-hate-the-poor-during-society-meetings.html
  11. 11. Fabio Galasso Computer Vision e Machine Learning; Applicazioni e Sviluppi | 5 November 2019 11 Textures and 3D reconstruction BMVC’07, ISVC’07, ISVC’08, CVPR’09 • Leverage texture to recover the shape In controlled environments In the “wild”
  12. 12. Fabio Galasso Computer Vision e Machine Learning; Applicazioni e Sviluppi | 5 November 2019 12 Label propagation and video analysis CVPR’10, ICCV’11 • Model videos with a graphical model • First label propagation
  13. 13. Fabio Galasso Computer Vision e Machine Learning; Applicazioni e Sviluppi | 5 November 2019 13 • 2011-2014 PDoc Research Associate Image source: https://www2.cs.uni-saarland.de/forschung-research/forschungsinstitutionen/index.html
  14. 14. Fabio Galasso Computer Vision e Machine Learning; Applicazioni e Sviluppi | 5 November 2019 14 Video segmentation ACCV’12, ICCV’13, ACCV’16 • Learn from videos to mimic the human perception Spectral graph reductionVideo Ground truth Ours Segm. propagation Grundmann et al. CVPR’10
  15. 15. Fabio Galasso Computer Vision e Machine Learning; Applicazioni e Sviluppi | 5 November 2019 15 Clustering with graphs CVPR’14, GCPR’14, CVPR’15 • Learn graph representations for videos • Learn grouping constraints • Prove equivalence of graph reductions Pixel/voxel Graph for a video Superpixel Frame
  16. 16. Fabio Galasso Computer Vision e Machine Learning; Applicazioni e Sviluppi | 5 November 2019 16 Outline • Research background • Innovation transfer • Research highlights
  17. 17. Fabio Galasso Computer Vision e Machine Learning; Applicazioni e Sviluppi | 5 November 2019 17 • 2014-2019 R&D Manager Head of Computer Vision Dept Image source: https://www.handelsblatt.com/unternehmen/industrie/lichtkonzern-osram-tief-in-den-roten-zahlen/24855322.html
  18. 18. Fabio Galasso Computer Vision e Machine Learning; Applicazioni e Sviluppi | 5 November 2019 18 Business potential • Light is everywhere people are • Cameras are small and mass produced • Cameras enable several use cases Presence detection for automatic switch on/off People localization for counting Gesture recognition for human-light interaction Activity recognition for automatic lighting setup Light estimation for calibration People tracking for pattern recognition in shops People identification for personalized lighting … Image sources: https://www.amazon.it/Victorinox-Swisschamp-Coltello-colore-Rosso/dp/B0001GS19U/ https://www.wallpaperflare.com/city-skyline-during-nighttime-wallpaper-82253 https://www.calonassociates.com/faq-occupancy-detection---what-is-the https://www.amazon.es/Port%C3%A1til-Interior-Nocturna-Vigilancia-Movimiento/dp/B07T6DVX2S
  19. 19. Fabio Galasso Computer Vision e Machine Learning; Applicazioni e Sviluppi | 5 November 2019 19 Business potential • Light is everywhere people are • Cameras are small and mass produced Image sources: https://www.amazon.it/Victorinox-Swisschamp-Coltello-colore-Rosso/dp/B0001GS19U/ https://www.wallpaperflare.com/city-skyline-during-nighttime-wallpaper-82253 https://www.calonassociates.com/faq-occupancy-detection---what-is-the https://www.amazon.es/Port%C3%A1til-Interior-Nocturna-Vigilancia-Movimiento/dp/B07T6DVX2S
  20. 20. Fabio Galasso Computer Vision e Machine Learning; Applicazioni e Sviluppi | 5 November 2019 20 Business potential • Light is everywhere people are • Cameras are small and mass produced • Cameras enable several use cases Presence detection for automatic switch on/off People localization for counting Gesture recognition for human-light interaction Activity recognition for automatic lighting setup Light estimation for calibration People tracking for pattern recognition in shops People identification for personalized lighting … Image sources: https://www.amazon.it/Victorinox-Swisschamp-Coltello-colore-Rosso/dp/B0001GS19U/ https://www.wallpaperflare.com/city-skyline-during-nighttime-wallpaper-82253 https://www.calonassociates.com/faq-occupancy-detection---what-is-the https://www.amazon.es/Port%C3%A1til-Interior-Nocturna-Vigilancia-Movimiento/dp/B07T6DVX2S
  21. 21. Fabio Galasso Computer Vision e Machine Learning; Applicazioni e Sviluppi | 5 November 2019 21 Occupancy detection for lighting control • Top-view people detection is challenging Image source: screenshot from Google image search
  22. 22. Fabio Galasso Computer Vision e Machine Learning; Applicazioni e Sviluppi | 5 November 2019 22 Occupancy detection for lighting control • Top-view people detection is challenging • It requires Specific modelling Specific data Data annotations Image source: screenshot from Google image search
  23. 23. Fabio Galasso Computer Vision e Machine Learning; Applicazioni e Sviluppi | 5 November 2019 23 From Conception to Market • All that glitters is not gold Is it worth it? May that really be solved? Courtesy of G. Gkioxari, @ICVSS’18 Image sources: https://www.sdmmag.com/articles/93743-wireless-cameras-rising-in-popularity https://conrad.ru/catalog/datchiki_dvigeniya/1485335/, https://ruwimgt.pw/google-vision-kit-face-recognition.html https://www.theverge.com/circuitbreaker/2016/5/16/11682468/raspberry-pi-zero-camera-connector
  24. 24. Fabio Galasso Computer Vision e Machine Learning; Applicazioni e Sviluppi | 5 November 2019 24 From Conception to Market • All that glitters is not gold Is it worth it? May that really be solved? Would people accept it? Image sources: https://www.sdmmag.com/articles/93743-wireless-cameras-rising-in-popularity https://conrad.ru/catalog/datchiki_dvigeniya/1485335/, https://ruwimgt.pw/google-vision-kit-face-recognition.html https://www.theverge.com/circuitbreaker/2016/5/16/11682468/raspberry-pi-zero-camera-connector
  25. 25. Fabio Galasso Computer Vision e Machine Learning; Applicazioni e Sviluppi | 5 November 2019 25 Marketing AI may require a change in perspective Image source: https://panpica.pw/learn-to-embrace-the-storms-of-your-life-meaning.html
  26. 26. Fabio Galasso Computer Vision e Machine Learning; Applicazioni e Sviluppi | 5 November 2019 26 Pick the “Right” Market • Typical spendings in a building 29 €/m2 290 €/m2 2900 €/m2 Courtesy of www.visn.io
  27. 27. Fabio Galasso Computer Vision e Machine Learning; Applicazioni e Sviluppi | 5 November 2019 27 VISN • Optimize the rented space Courtesy of www.visn.io
  28. 28. Fabio Galasso Computer Vision e Machine Learning; Applicazioni e Sviluppi | 5 November 2019 28 VISN • Optimize the rented space Courtesy of www.visn.io
  29. 29. Fabio Galasso Computer Vision e Machine Learning; Applicazioni e Sviluppi | 5 November 2019 29 VISN • Optimize the rented space • Create a more efficient environment for employees Find the perfect workspace Find your co-workers Courtesy of www.visn.io
  30. 30. Fabio Galasso Computer Vision e Machine Learning; Applicazioni e Sviluppi | 5 November 2019 30 A success story • Recognition by field experts • Recognition by customers • Now on sale, also with thermal cameras Courtesy of www.visn.io
  31. 31. Fabio Galasso Computer Vision e Machine Learning; Applicazioni e Sviluppi | 5 November 2019 31 Outline • Research background • Innovation transfer • Research highlights People forecasting (WACV’18, CVPR’18, TPAMI’19) Person re-identification and search
  32. 32. Fabio Galasso Computer Vision e Machine Learning; Applicazioni e Sviluppi | 5 November 2019 32 Forecasting • Human-robot interaction Image sources: https://www.grasp.upenn.edu/projects/haptics-human-robot-interaction http://www.woostercollective.com/post/3d-optical-illusion-painted-on-street-to-make-drivers-slow-down
  33. 33. Fabio Galasso Computer Vision e Machine Learning; Applicazioni e Sviluppi | 5 November 2019 33 Forecasting • Human-robot interaction • Long-term tracking across occlusions Image sources: https://www.grasp.upenn.edu/projects/haptics-human-robot-interaction http://www.woostercollective.com/post/3d-optical-illusion-painted-on-street-to-make-drivers-slow-down
  34. 34. Fabio Galasso Computer Vision e Machine Learning; Applicazioni e Sviluppi | 5 November 2019 34 Forecasting • Human-robot interaction • Long-term tracking across occlusions • Safety of autonomous vehicles Image sources: https://www.grasp.upenn.edu/projects/haptics-human-robot-interaction http://www.woostercollective.com/post/3d-optical-illusion-painted-on-street-to-make-drivers-slow-down
  35. 35. Fabio Galasso Computer Vision e Machine Learning; Applicazioni e Sviluppi | 5 November 2019 35 Also with Forecasting • Weather and natural disasters, e.g. earthquakes • Market trends • Critical pressure of a power plant • Gas supply and demand • … Image sources: http://www.vestinet.rs/pogledi/ozbiljno-upozorenje-naucnika-u-2018-ocekujte-razorne-zemljotrese-evo-gde-ce-biti-najgore-video https://allstarcharts.com/monthlysjune2018/, https://www.thetimes.co.uk/article/national-gas-alert-as-prices-soar-08xjfqc8q
  36. 36. Fabio Galasso Computer Vision e Machine Learning; Applicazioni e Sviluppi | 5 November 2019 36 More on the Gaze
  37. 37. Fabio Galasso Computer Vision e Machine Learning; Applicazioni e Sviluppi | 5 November 2019 37 Head Pose and Motion People watch their steps
  38. 38. Fabio Galasso Computer Vision e Machine Learning; Applicazioni e Sviluppi | 5 November 2019 38 Head-pose • Key to people attention
  39. 39. Fabio Galasso Computer Vision e Machine Learning; Applicazioni e Sviluppi | 5 November 2019 39 When the Head Pose Diverges
  40. 40. Fabio Galasso Computer Vision e Machine Learning; Applicazioni e Sviluppi | 5 November 2019 40 MX-LSTM • Use people velocity and head pose jointly • To forecast people motion • In line with sociological findings and data statistics
  41. 41. Fabio Galasso Computer Vision e Machine Learning; Applicazioni e Sviluppi | 5 November 2019 41 MX-LSTM Social Pooling • Leverage head pose for person-person interaction
  42. 42. Fabio Galasso Computer Vision e Machine Learning; Applicazioni e Sviluppi | 5 November 2019 42 Social LSTM Vs MX-LSTM Prior work (Social-LSTM) Our MX-LSTM
  43. 43. Fabio Galasso Computer Vision e Machine Learning; Applicazioni e Sviluppi | 5 November 2019 43 Outline • Research background • Innovation transfer • Research highlights People forecasting Person re-identification and search (CVPR’19, BMVC’19)
  44. 44. Fabio Galasso Computer Vision e Machine Learning; Applicazioni e Sviluppi | 5 November 2019 44 Re-identification • Find the queried person in a gallery of cropped samples Query Gallery
  45. 45. Fabio Galasso Computer Vision e Machine Learning; Applicazioni e Sviluppi | 5 November 2019 45 Person Search • Find a queried person within a gallery of images (detection + re-id) GalleryQuery
  46. 46. Fabio Galasso Computer Vision e Machine Learning; Applicazioni e Sviluppi | 5 November 2019 46 Motivation for Person Search • Surveillance • Long-term tracking across-views • Novel algorithms for granting access Image source: https://research.qut.edu.au/saivt/research-projects/person-re-identification-using-soft-biometrics/
  47. 47. Fabio Galasso Computer Vision e Machine Learning; Applicazioni e Sviluppi | 5 November 2019 47 New State-of-the-art at CVPR’19 and BMVC’19 • Strong quantitative and qualitative results Query Retrieved Query Retrieved
  48. 48. Fabio Galasso Computer Vision e Machine Learning; Applicazioni e Sviluppi | 5 November 2019 48 Outline • Research background • Innovation transfer • Research highlights
  49. 49. Fabio Galasso Computer Vision e Machine Learning; Applicazioni e Sviluppi | 5 November 2019 49 Conclusions • Computer vision and machine learning undergo great progress, but need more research • Innovation based on AI may be the new oil, but it requires deep technical, financial and social awareness • With progress, more potential unlock Autonomous cars Collaborative robots Safer cities and factories
  50. 50. Fabio Galasso Computer Vision e Machine Learning; Applicazioni e Sviluppi | 5 November 2019 50 Conclusions • Computer vision and machine learning undergo great progress, but need more research • Innovation based on AI may be the new oil, but it requires deep technical, financial and social awareness Image sources: https://towardsdatascience.com/data-is-the-new-oil-f11440e80dd0 https://capital.com/dividend-investing-for-outsized-returns, https://www.webgyoronline.com/
  51. 51. Fabio Galasso Computer Vision e Machine Learning; Applicazioni e Sviluppi | 5 November 2019 51 Conclusions • Computer vision and machine learning undergo great progress, but need more research • Innovation based on AI may be the new oil, but it requires deep technical, financial and social awareness • With progress, more potential unlock Autonomous cars Collaborative robots Safer cities and factories Image sources: https://towardsdatascience.com/data-is-the-new-oil-f11440e80dd0 https://capital.com/dividend-investing-for-outsized-returns, https://www.webgyoronline.com/
  52. 52. Intelligenza Artificiale nella PA: esperienze e prospettive Roma, 5 Novembre 2019 h. 9.00-13.30 organizzato e promosso da www.prsmonitor.euwww.di.uniroma1.itwww.miur.gov.it Thank you Fabio Galasso Sapienza Università di Roma Disclaimer: the opinions expressed in this presentation and in these slides are solely those of the presenter.
  • NOORMUAYAD

    Nov. 12, 2019

Fabio Galasso Sapienza Università di Roma

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