MUSCLE Conference joint with VITALAS Conference

Person detection and recognition, tracking and analysis

author: Montse Pardàs, Technical University of Catalonia

Description

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 developed during the last year for multi-level foreground detection is presented. 3D tracking of multiple people and human body motion capture are presented next. Finally, some videos showing results of other works developed within the e-team are presented.

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*Slides*
0:00	Person detection, tracking and human body analysis in multi-camera scenarios
0:55	Summary
1:49	Input Data Generation
6:06	Applications
8:57	Foreground Detection: Multi-Level FG Segmentation
11:32	Multi-Level Foreground Segmentation
11:55	Mean-Shift Tracking with Multi-Level Foreground - 1
12:25	Mean-Shift Tracking with Multi-Level Foreground - 2
12:34	Mean-Shift Tracking with Multi-Level Foreground - 3
13:32	Person Tracking in Multi Camera Scenarios
15:20	Particle Filter Implementation
16:08	Multi-Person Issue
16:54	Results - 1
17:50	Results - 2
18:21	Multimodal Integration
18:35	Human Motion Capture
19:51	Marker Based Capture
20:10	Markerless Based Capture - 1
20:39	Markerless Based Capture - 2
21:26	Markerless Based Capture - 3
22:02	Markerless Based Capture - 4
23:02	Learning
23:21	The Tracking Scheme
23:22	Multi-Action Learning
23:28	Results
23:53	Other Works - 1
24:36	- Questions
24:45	- Questions

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