Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/79959
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Type: Journal article
Title: Object detection and tracking with active camera on motion vectors of feature points and particle filter
Author: Chen, Y.
Zhang, R.
Shang, L.
Hu, E.
Citation: Review of Scientific Instruments, 2013; 84(6):1-6
Publisher: Amer Inst Physics
Issue Date: 2013
ISSN: 0034-6748
1089-7623
Statement of
Responsibility: 
Yong Chen, Rong-Hua Zhang, Lei Shang, and Eric Hu
Abstract: A method based on motion vectors of feature points and particle filter has been proposed and developed for an active/moving camera for object detection and tracking purposes. The object is detected by histogram of motion vectors first, and then, on the basis of particle filter algorithm, the weighing factors are obtained via color information. In addition, re-sampling strategy and surf feature points are used to remedy the drawback of particle degeneration. Experimental results demonstrate the practicability and accuracy of the new method and are presented in the paper.
Rights: © 2013 AIP Publishing LLC
RMID: 0020130815
DOI: 10.1063/1.4809768
Appears in Collections:Environment Institute publications
Mechanical Engineering publications

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