DocumentCode :
596631
Title :
Detection and tracking of moving object based on PTZ camera
Author :
Xinghua Li ; Qinglei Chen ; Haiyang Chen
Author_Institution :
State Key Lab. of Precision Meas. Technol. & Instrum., Tianjin Univ., Tianjin, China
fYear :
2012
fDate :
18-20 Oct. 2012
Firstpage :
493
Lastpage :
497
Abstract :
A new background updating algorithm of timely replacement of a central regional background was presented in this paper aiming at the PTZ camera video surveillance scenes. Before the object moving out of the setting field, the camera was static and the background subtraction algorithm was used to detect the moving object. Once the object moving out of the setting field, the camera which was controlled by the program rotates and we used the information of two images before and after the rotation to synthesize a new background for the detection of moving targets. When the target moved out of the setting field of view once again, the same method was employed to control the camera´s rotation and updating the background timely. It can detect a moving object accurately and quickly and the timing controlling of the camera´s rotation can realize the detection and tracking an object in a dynamic background.
Keywords :
image sensors; image sequences; object detection; object tracking; video surveillance; PTZ camera video surveillance scenes; background subtraction algorithm; background updating algorithm; camera rotation control; central regional background; image sequences; moving object detection; moving object tracking; pan-tilt-zoom cameras; static subtraction algorithm; Cameras; Filtering algorithms; Heuristic algorithms; Interference; Object detection; Target tracking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Computational Intelligence (ICACI), 2012 IEEE Fifth International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4673-1743-6
Type :
conf
DOI :
10.1109/ICACI.2012.6463213
Filename :
6463213
Link To Document :
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