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Person detection and recognition, tracking and analysis
Published on Feb 14, 20086256 Views
The presentation describe the work carried out in E-team 3, focusing on the multi-camera scenarios. First, the context and applications of these scenarios are reviewed. Afterwards, a technique develop
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Chapter list
Person detection, tracking and human body analysis in multi-camera scenarios00:00
Summary00:55
Input Data Generation01:49
Applications06:06
Foreground Detection: Multi-Level FG Segmentation08:57
Multi-Level Foreground Segmentation11:32
Mean-Shift Tracking with Multi-Level Foreground - 111:55
Mean-Shift Tracking with Multi-Level Foreground - 212:25
Mean-Shift Tracking with Multi-Level Foreground - 312:34
Person Tracking in Multi Camera Scenarios13:32
Particle Filter Implementation15:20
Multi-Person Issue16:08
Results - 116:54
Results - 217:50
Multimodal Integration18:21
Human Motion Capture18:35
Marker Based Capture19:51
Markerless Based Capture - 120:10
Markerless Based Capture - 220:39
Markerless Based Capture - 321:26
Markerless Based Capture - 422:02
Learning23:02
The Tracking Scheme23:21
Multi-Action Learning23:22
Results23:28
Other Works - 123:53
Other Works - 224:36