2001 IEEE Workshop on Multi-object Tracking
IEEE Computer Society, Jan 1, 2001 - Computers - 103 pages
Contains 12 papers from a July 2001 workshop on visual tracking of multiple objects in computer vision. Topics discussed include unified multi-camera detection and tracking using region-matching, maintaining the identity of multiple vehicles as they travel through a video network, tracking body parts of multiple people, joint likelihood methods for mitigating visual tracking disturbances, and combined segmentation and tracking of overlapping objects with feedback. Other subjects include tracking and recognizing two-person interactions in outdoor image sequences, multiple camera fusion for multi-object tracking, tracking multiple people with a multi-camera system, and engineering statistics for multi-object tracking. This volume lacks a subject index. c. Book News Inc.
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FrameBased Tracing of Multiple Objects
Tracking Multiple People with a MultiCamera System
Tracking Multiple Parts
8 other sections not shown
3D-tracking algorithm ambiguity Analysis and Machine base object Bayes Bayesian network binary blob camera views candidate object cells centroid CJLF clutter coherence function color complexity component Computer Vision Condensation algorithm conﬁdence connected component constraints correspondence covariance matrix data association data fusion deﬁned density efﬁcient epipolar geometry epipolar line equation error estimation extraction feature point ﬁrst framework fusion Gaussian global graph homography human blobs IEEE Trans image likelihood image sequences interaction joint Kalman ﬁlter likelihood function Machine Intelligence matching subjects measurement method modality multiple cameras multiple views multisensor-multitarget multitarget node noise number of hypotheses observations occlusion particle pattem performed person pixels platoon predicted prior probabilistic probability problem Proc random region relaxation sample scene segmentation sensor shown in Figure speciﬁc target technique temporal spatio-velocity threshold tion topmost point tracker tracking multiple objects trafﬁc trajectory variables vector vehicles velocity visual