An Adaptive Real-Time Tracking Algorithm for Moving Object

doi:10.13190/jbupt.2006s2.164.297

JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM ›› 2006, Vol. 29 ›› Issue (s2): 164-167.doi: 10.13190/jbupt.2006s2.164.297

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An Adaptive Real-Time Tracking Algorithm for Moving Object

LI Guo1,2, ZHANG Xin-ke2, YANG Guo-qing1, GAO Qing-ji2

1 College of Information Science and Technolgy, NanJing University of Aeronautics and Astronautics,
Nanjing 210016，China;
2 Research Institute of Robotics, Civil Aviation University of China, Tianjin 300300, China

Received:2006-09-30 Revised:1900-01-01 Online:2006-11-30 Published:2006-11-30
Contact: LI Guo

Abstract

Abstract:

An adaptive real-time tracking algorithm for moving object was presented based on mean shift and particle filter. In the method, video image from the PTZ camera was dealt, histogram character was updated adaptively, particle propagating was controlled by the mean shift algorithm ,based on the model-adaptive mode. Object position was calculated by particle weight. Finally the experiment results verified the practicability and efficiency of this algorithm.

Key words: moving object, particle filter, mean shift, adaptive model

CLC Number:

TP391.41

LI Guo1,2, ZHANG Xin-ke2, YANG Guo-qing1, GAO Qing-ji2
. An Adaptive Real-Time Tracking Algorithm for Moving Object[J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2006, 29(s2): 164-167.

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An Adaptive Real-Time Tracking Algorithm for Moving Object

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