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Updated: May 10, 2026

Three-dimensional Particle Tracking Velocimetry for Turbulence Applications: Case of a Jet Flow
Published on: February 27, 2016
Object detection and tracking with active camera on motion vectors of feature points and particle filter
Yong Chen1, Rong-Hua Zhang, Lei Shang
1School of Energy Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China. ychencd@uestc.edu.cn
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.
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