A Dynamic Adaptive Update System of Tracking Moving Objects Based on Contour Feature
This paper proposes a real-time moving objects detecting algorithm based on computer vision. Contour feature is firstly extracted from the initial frame as the feature to describe object, and then the moving object in the latter frame could be tracked and located by marking the location of this feature, at the same time, the feature is dynamically adaptively updated and optimized online. The slight computation burden and robustness to the noise and illumination disturbance make the algorithm have a good real-time quality and reliability. Experimental results indicate that the system reaches the designing requirements.
Feature Template Matching Tracking Moving Objects Detecting Objects Adaptive Update of Template
Dong Wang Hong Zhu Qin Li Yong Chu Ruirui Ji
Xian University of Technology Xian, P. R. China 710048
国际会议
2006 IEEE International Conference on Information Acquisition
山东威海
英文
332-336
2006-08-20（万方平台首次上网日期，不代表论文的发表时间）