NDLI: Tracking Humans in Real-Time by Opponent-Motion and Visual Attention

Content Provider	IEEE Xplore Digital Library
Author	Yaoru Sun Xingui Hu Jinhua Zeng Zuo Zhang
Copyright Year	2010
Abstract	This paper presents a biologically-inspired approach for human tracking by using a single feature of opponent-motion and visual attention mechanism. Opponent-motion is a significant and salient feature during human motion of walking, running, etc. By the interaction with the heuristic prior knowledge of human model, the obtained opponent-motion is used to derive motion saliency from its statistical computation for rapid selection of salient motion blobs of humans by visual attention. The biological motion with available opponent-motion, therefore, can be effectively detected and tracked in real-time. The experimental results have also shown that detecting and tracking humans by opponent-motion can greatly eliminate the effect of illumination change. This work demonstrated that the feature of opponent-motion can be used for real-time human detection and tracking in natural and clustered environments.
Starting Page	230
Ending Page	233
File Size	1949080
Page Count	4
File Format	PDF
ISBN	9781424475063
e-ISBN	9781424475070
DOI	10.1109/ICIE.2010.61
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-08-14
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Real time systems visual attention Visualization Computer vision Tracking Motion segmentation Humans opponent-motion motion saliency human detection and tracking
Content Type	Text
Resource Type	Article

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