Please use this identifier to cite or link to this item:
|Scopus||Web of Science®||Altmetric|
|Title:||Object detection and tracking with active camera on motion vectors of feature points and particle filter|
|Citation:||Review of Scientific Instruments, 2013; 84(6):1-6|
|Publisher:||Amer Inst Physics|
|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|
|Appears in Collections:||Environment Institute publications|
Mechanical Engineering publications
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.