NDLI: Visual attention & multi-cue fusion based human motion tracking method

Content Provider	IEEE Xplore Digital Library
Author	Ge Yang Hong Liu
Copyright Year	2010
Description	Author affiliation: Key Laboratory of Machine Perception, Key Laboratory of Integrated Microsystems, Shenzhen Graduate School, Peking University, Beijing, China (Hong Liu) \|\| Key Laboratory of Integrated Microsystems, Key Laboratory of Machine Perception, Shenzhen Graduate School, Peking University, Beijing, China (Ge Yang)
Abstract	A novel visual tracking algorithm based on visual attention and multiple cues fusion for human motion analysis is proposed in this paper. An auxiliary object is selected through visual attention mechanism. Feature of target position prediction and feature of motion continuity and color feature are used to determine the location of a target and an auxiliary object. Candidate color feature includes feature of hue and saturation, features of R (Red) channel, G (Green) channel, B (Blue) channel and linear combination of R, G and B when a target is tracked. Candidate color features with high reliability are dynamically selected and weight values of the color features are dynamically adjusted according to the change of a scene. Candidate color feature includes feature of hue and saturation when an auxiliary object is tracked. Combining with CAMSHIFT (Continuously Adaptive Mean Shift) technique, experimental results show that this new algorithm is more robust than the traditional static non-adaptive algorithm and gets better tracking effect than CMET (Collaborative Mean Shift Tracking). It can handle the situation that a target is occluded and that a target and its background color are similar. It can also track a cross-border target.
Starting Page	2044
Ending Page	2054
File Size	982968
Page Count	11
File Format	PDF
ISBN	9781424459582
e-ISBN	9781424459612
DOI	10.1109/ICNC.2010.5584296
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-08-10
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Visualization Target tracking Image color analysis Heuristic algorithms Human Motion Color Visual Tracking Multi-cue Fusion Visual Attention Pixel
Content Type	Text
Resource Type	Article

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