Tracking Pedestrians Under Occlusion Using Multiple Cameras

Jorge Batista

doi:10.1007/978-3-540-30126-4_68

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Tracking Pedestrians Under Occlusion Using Multiple Cameras

Jorge Batista

Year: 2004 Lecture notes in computer science Pages: 552-562 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-540-30126-4_68

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Keywords:

Computer vision Artificial intelligence Computer science Tracking (education) Ground plane Video tracking Tracking system Distortion (music) Trajectory Occlusion Image plane Object (grammar) Image (mathematics) Filter (signal processing)

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1.18

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0.76

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Citation History

Topics

Video Surveillance and Tracking Methods

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Advanced Vision and Imaging

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Advanced Image and Video Retrieval Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Tracking Pedestrians Under Occlusion Using Multiple Cameras

Metrics

Citation History

Topics

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