DocumentCode :
1719724
Title :
An algorithm for real-time human tracking under dynamic scene
Author :
Shenzhi, Huang ; Bin, Sun
Author_Institution :
Dept. of Inf. & Electron. Eng., Zhejiang Univ., Hangzhou, China
Volume :
3
fYear :
2010
Abstract :
To track human target real-time under dynamic scene, an automatic target tracking system based on IP PTZ camera was designed and an algorithm for tracking human target based on the system was proposed. Adaptive three-frame subtraction method was used to detect moving object and Camshift combined with Kalman filter was utilized to track object automatically. As Camshift algorithm suffers from low color saturation and similar color clutter in background, the color histogram of the target was strengthen and color and motion information was integrated to improve the performance. The problem the target was completely occluded had been analyzed and an occlusion handler was given. Experimental results show that the algorithm was robust and reliable in different scenes.
Keywords :
Kalman filters; object detection; target tracking; Camshift; Kalman filter; adaptive three-frame subtraction; dynamic scene; human target tracking; moving object detection; occlusion handler; real-time human tracking; Heuristic algorithms; Humans; Image color analysis; Kalman filters; Signal processing algorithms; Target tracking; Camshift; Kalman Filter; dynamic scene; human tracking; occlusion handle;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing Systems (ICSPS), 2010 2nd International Conference on
Conference_Location :
Dalian
Print_ISBN :
978-1-4244-6892-8
Electronic_ISBN :
978-1-4244-6893-5
Type :
conf
DOI :
10.1109/ICSPS.2010.5555695
Filename :
5555695
Link To Document :
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