Visual learning and recognition of 3-D objects from appearance
International Journal of Computer Vision
Training Support Vector Machines: an Application to Face Detection
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)
Probabilistic Modeling of Local Appearance and Spatial Relationships for Object Recognition
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Tracking Human Motion Using Multiple Cameras
ICPR '96 Proceedings of the International Conference on Pattern Recognition (ICPR '96) Volume III-Volume 7276 - Volume 7276
A Camera-Based System for Tracking People in Real Time
ICPR '96 Proceedings of the International Conference on Pattern Recognition (ICPR '96) Volume III-Volume 7276 - Volume 7276
Stride and Cadence as a Biometric in Automatic Person Identification and Verification
FGR '02 Proceedings of the Fifth IEEE International Conference on Automatic Face and Gesture Recognition
Human Detection using Geometrical Pixel Value Structures
FGR '02 Proceedings of the Fifth IEEE International Conference on Automatic Face and Gesture Recognition
Head Tracking by Active Particle Filtering
FGR '02 Proceedings of the Fifth IEEE International Conference on Automatic Face and Gesture Recognition
Active video surveillance based on stereo and infrared imaging
EURASIP Journal on Advances in Signal Processing
Cross-View Object Tracking by Projective Invariants and Feature Matching
PCM '08 Proceedings of the 9th Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
People reidentification in surveillance and forensics: A survey
ACM Computing Surveys (CSUR)
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We propose an appearance-based method for tracking motions of multiple persons using an asynchronous multiple-camera system. In the proposed method, the head appearance of each target person is dynamically modeled using multiple-camera-based observations. Observed color (texture) information and the related reliability values are stored in the head model as a set of color patches distributed in 3-D space. The head appearance model can be easily produced from any view direction by using the stored information. Head-appearance-based tracking is, especially, useful for reducing the impact of human-human occlusions. We applied the proposed method to a human interaction scene that contains small inter-person distance where the motion-based (silhouette) method fails due to occlusions. Experimental results show the effectiveness of the proposed method.