Pfinder: Real-Time Tracking of the Human Body
IEEE Transactions on Pattern Analysis and Machine Intelligence
N-Ocular stereo for real-time human tracking
Panoramic vision
Catadioptric Omnidirectional Camera
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
3-D model-based tracking of humans in action: a multi-view approach
CVPR '96 Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96)
Tracking People with Twists and Exponential Maps
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
W4: Who? When? Where? What? A Real Time System for Detecting and Tracking People
FG '98 Proceedings of the 3rd. International Conference on Face & Gesture Recognition
Activity monitoring and summarization for an intelligent meeting room
HUMO '00 Proceedings of the Workshop on Human Motion (HUMO'00)
Real-Time Target Localization and Tracking by N-Ocular Stereo
OMNIVIS '00 Proceedings of the IEEE Workshop on Omnidirectional Vision
Visual Surveillance and Monitoring System Using an Omnidirectional Video Camera
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 1 - Volume 1
Simultaneous Tracking of Head Poses in a Panoramic View
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 3
Human movement capture and analysis in intelligent environments
Machine Vision and Applications - Special issue: Human modeling, analysis, and synthesis
Motion analysis of Omni-Directional video streams for a mobile sentry
IWVS '03 First ACM SIGMM international workshop on Video surveillance
Manifold analysis of facial gestures for face recognition
WBMA '03 Proceedings of the 2003 ACM SIGMM workshop on Biometrics methods and applications
Visual contextualization and activity monitoring for networked telepresence
Proceedings of the 2004 ACM SIGMM workshop on Effective telepresence
Calibration of a reconfigurable array of omnidirectional cameras using a moving person
Proceedings of the ACM 2nd international workshop on Video surveillance & sensor networks
Tracking the activity of participants in a meeting
Machine Vision and Applications
Multi-spectral and multi-perspective video arrays for driver body tracking and activity analysis
Computer Vision and Image Understanding
Mutual information based registration of multimodal stereo videos for person tracking
Computer Vision and Image Understanding
Journal on Image and Video Processing - Anthropocentric Video Analysis: Tools and Applications
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Real-time three-dimensional tracking of people is an important requirement for a growing number of applications. In this paper we describe two trackers; both of them use a network of video cameras for person tracking. These trackers are called a rectilinear video array tracker (R-VAT) and an omnidirectional video array tracker (O-VAT), indicating the two different ways of video capture. The specific objectives of this paper are twofold: (i) to present a systematic comparison of these two trackers using an extensive series of experiments conducted in an 'intelligent' room; (ii) to develop a real-time system for tracking the head and face of a person, as an extension of the O-VAT approach. The comparative research indicates that O-VAT is more robust to the number of people, less complex and runs faster, needs manual camera calibration, and the integrated omnidirectional video network has better reconfigurability. The person head and face tracker study shows that such a system can serve as a most effective input stage for face recognition and facial expression analysis modules.