The visual analysis of human movement: a survey
Computer Vision and Image Understanding
Human motion analysis: a review
Computer Vision and Image Understanding
Multimedia Video-Based Surveillance Systems: Requirements, Issues and Solutions
Multimedia Video-Based Surveillance Systems: Requirements, Issues and Solutions
Machine Vision and Applications
Segmentation and Tracking of Interacting Human Body Parts under Occlusion and Shadowing
MOTION '02 Proceedings of the Workshop on Motion and Video Computing
Face detection using quantized skin color regions merging andwavelet packet analysis
IEEE Transactions on Multimedia
Automatic detection and indexing of video-event shots for surveillance applications
IEEE Transactions on Multimedia
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This paper proposes a method for tracking and identifying persons from video image frames taken by a fixed camera. The majority of conventional video tracking surveillance systems assumes a likeness to a person's appearance for some time, and existing human tracking systems usually consider short-term situations. To address this situation, we use an adaptive background and human body model updated statistically frame-by-frame to correctly construct a person with body parts. The formed person is labeled and recorded in a person's list, which stores the individual's human body model details. Such recorded information can be used to identify tracked persons. The results of this experiment are demonstrated in several indoor situations.