A Comparison of Multicamera Person-Tracking Algorithms

In this paper, we present a comparison of four novel algorithms that have been applied to the tracking of people in an indoor scenario. Tracking is carried out in 3D or 2D (ground plane) to provide position information for a variety of surveillance, HCI or meeting-support services. The algorithms, based on background subtraction, face detection, particle filter feature-matching and edge alignment of a cylindrical model are described and comparative results presented using independent test data produced and ground-truthed for the EU CHIL project.

[1]  Claudio S. Pinhanez,et al.  Intelligent Studios: Using Computer Vision to Control TV Cameras , 1995 .

[2]  Alex Pentland,et al.  Pfinder: Real-Time Tracking of the Human Body , 1997, IEEE Trans. Pattern Anal. Mach. Intell..

[3]  Christoph Bregler,et al.  Learning and recognizing human dynamics in video sequences , 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[4]  Jitendra Malik,et al.  Tracking people with twists and exponential maps , 1998, Proceedings. 1998 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No.98CB36231).

[5]  W. Eric L. Grimson,et al.  Adaptive background mixture models for real-time tracking , 1999, Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149).

[6]  Paul A. Viola,et al.  Robust Real-time Object Detection , 2001 .

[7]  Larry S. Davis,et al.  Multimodal 3-D tracking and event detection via the particle filter , 2001, Proceedings IEEE Workshop on Detection and Recognition of Events in Video.

[8]  Chalapathy Neti,et al.  Recent advances in the automatic recognition of audiovisual speech , 2003, Proc. IEEE.

[9]  T. Kanade,et al.  A master-slave system to acquire biometric imagery of humans at distance , 2003, IWVS '03.

[10]  Sharath Pankanti,et al.  Face cataloger: multi-scale imaging for relating identity to location , 2003, Proceedings of the IEEE Conference on Advanced Video and Signal Based Surveillance, 2003..

[11]  A. Senior.  Real-time articulated human body tracking using silhouette information , 2003 .

[12]  Yong Rui,et al.  A portable solution for automatic lecture room camera management , 2004, 2004 IEEE International Conference on Multimedia and Expo (ICME) (IEEE Cat. No.04TH8763).

[13]  Sharath Pankanti,et al.  Detection and tracking in the IBM PeopleVision system , 2004, 2004 IEEE International Conference on Multimedia and Expo (ICME) (IEEE Cat. No.04TH8763).

[14]  Thomas S. Huang,et al.  A Joint System for Person Tracking and Face Detection , 2005, ICCV-HCI.

[15]  John W. McDonough,et al.  A joint particle filter for audio-visual speaker tracking , 2005, ICMI '05.