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REAL-TIME DETECTOR FOR UNUSUAL BEHAVIOR Showcase
Highlights ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Platform ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Partners ,[object Object],[object Object],[object Object],[object Object],Tracking, pedestrian detection Multimodal human actions, HMM 2D Body actions, motion fields Unusual event detection, annotation process, statistical analysis, shadow removing ( f ormerly A RC ) BILKENT
Distribution of work Moving Cam. Static Cam. mosaicing Foreground Detect. shilouettes HMM class. Body model Motion features Periodicity Pedestrian detection Tracking sound classification Unusual event Region alert Sztaki ACV BILKENT UPC
Contribution of ACV ,[object Object],[object Object],[object Object],[object Object]
Details on the algorithmic modules Human detection by clustering and model-based verification VIDEO Kernel-based human tracking using motion information VIDEO Occlusion handling VIDEO Tracking evaluation (comparison to manual ground truth)
Evaluation video datasets (street scenarios) Sequence Street_01.avi: 720x576 pixels, 8628 frames (tracking ground truth available for 1040 frames) Sequence Street_02.avi: 720x576 pixels, 763 frames (tracking ground truth available for 763 frames)
Contribution of Bilkent ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],BILKENT
Human Recognition in Video ,[object Object],[object Object],[object Object],BILKENT
[object Object],Falling Person Detection using Motion Clues ( visual ) T1 T2 BILKENT
Contribution of UPC ,[object Object],[object Object],[object Object],[object Object],[object Object]
Motion Analysis ,[object Object],MEV MHV
Model Based Analysis ,[object Object]
Silhouette analysis for detection of body extremities ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Pixel position Geodesic Distance
Contribution of SZTAKI ,[object Object],[object Object],[object Object],[object Object],[object Object]
Contribution of SZTAKI ,[object Object]
Contribution of SZTAKI ,[object Object]
Contribution of SZTAKI ,[object Object],Pixel-wise motion estimation black: right, white: left Motion statistics Input Actual motion masked with usual motion
Contribution of SZTAKI ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Web Page DB metadata tcp/ip SERVER Web server Matlab C++ DLL/LIB Comm. Interface json tcp/ip tcp/ip mjpg json Html User modules Contribution of SZTAKI - architecture Data Source Controller Comm. Interface Comm. Interface Comm. Interface Module Register Streams Internet

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unusualevent

  • 1. REAL-TIME DETECTOR FOR UNUSUAL BEHAVIOR Showcase
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  • 5. Distribution of work Moving Cam. Static Cam. mosaicing Foreground Detect. shilouettes HMM class. Body model Motion features Periodicity Pedestrian detection Tracking sound classification Unusual event Region alert Sztaki ACV BILKENT UPC
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  • 7. Details on the algorithmic modules Human detection by clustering and model-based verification VIDEO Kernel-based human tracking using motion information VIDEO Occlusion handling VIDEO Tracking evaluation (comparison to manual ground truth)
  • 8. Evaluation video datasets (street scenarios) Sequence Street_01.avi: 720x576 pixels, 8628 frames (tracking ground truth available for 1040 frames) Sequence Street_02.avi: 720x576 pixels, 763 frames (tracking ground truth available for 763 frames)
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  • 21. Web Page DB metadata tcp/ip SERVER Web server Matlab C++ DLL/LIB Comm. Interface json tcp/ip tcp/ip mjpg json Html User modules Contribution of SZTAKI - architecture Data Source Controller Comm. Interface Comm. Interface Comm. Interface Module Register Streams Internet