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Computer Vision e Machine Learning Applicazioni e Sviluppi

Fabio Galasso Sapienza Università di Roma

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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
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
Fabio Galasso
Computer Vision e Machine Learning; Applicazioni e Sviluppi | 5 November 2019
3
Visual Recognition Tasks
Courtesy of G. Gkioxari, @ICVSS’18
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
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
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
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Computer Vision e Machine Learning Applicazioni e Sviluppi

  • 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. 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. Fabio Galasso Computer Vision e Machine Learning; Applicazioni e Sviluppi | 5 November 2019 3 Visual Recognition Tasks Courtesy of G. Gkioxari, @ICVSS’18
  • 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. 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. 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. 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. Fabio Galasso Computer Vision e Machine Learning; Applicazioni e Sviluppi | 5 November 2019 8 Outline • Research background • Innovation transfer • Research highlights
  • 9. Fabio Galasso Computer Vision e Machine Learning; Applicazioni e Sviluppi | 5 November 2019 9 Outline • Research background • Innovation transfer • Research highlights
  • 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. 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. 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. 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. 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. 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. Fabio Galasso Computer Vision e Machine Learning; Applicazioni e Sviluppi | 5 November 2019 16 Outline • Research background • Innovation transfer • Research highlights
  • 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. Fabio Galasso Computer Vision e Machine Learning; Applicazioni e Sviluppi | 5 November 2019 36 More on the Gaze
  • 37. Fabio Galasso Computer Vision e Machine Learning; Applicazioni e Sviluppi | 5 November 2019 37 Head Pose and Motion People watch their steps
  • 38. Fabio Galasso Computer Vision e Machine Learning; Applicazioni e Sviluppi | 5 November 2019 38 Head-pose • Key to people attention
  • 39. Fabio Galasso Computer Vision e Machine Learning; Applicazioni e Sviluppi | 5 November 2019 39 When the Head Pose Diverges
  • 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. 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. 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. 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. 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. 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. 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. 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. Fabio Galasso Computer Vision e Machine Learning; Applicazioni e Sviluppi | 5 November 2019 48 Outline • Research background • Innovation transfer • Research highlights
  • 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. 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. 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. 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.