Title :
A motion object detecting algorithm applied for constant speed dome camera in surveillance camera system
Author :
Liu, Yi ; Xiao, Mingming
Author_Institution :
Inf. Coll., Zhongkai Univ. of Agric. & Eng., Guangzhou, China
Abstract :
In order to enlarge surveillance range, constant speed dome cameras are applied to surveillance camera systems, but this application also makes image recognition of alarm more difficult. Template matching is used to calculate camera´s movement distance, renew reference image and segment motion objects by accumulative difference image in the paper. For workload reduction of template matching and interference elimination of camera oscillating, recursive least square method is also applied to estimate the movement of camera in the paper. The test results indicate that motion objects can be segmented from image sequence of constant speed dome camera effectively for alarm pattern recognition.
Keywords :
closed circuit television; image matching; image segmentation; image sequences; least squares approximations; motion estimation; object detection; video surveillance; camera oscillation; camera´s movement distance; constant speed dome camera; image recognition; image sequence; interference elimination; motion object detection; pattern recognition; recursive least square method; segment motion objects; surveillance camera system; template matching; Image recognition; Image segmentation; accumulative difference image; constant speed dome camera; recursive least square; template matching;
Conference_Titel :
Computer Application and System Modeling (ICCASM), 2010 International Conference on
Conference_Location :
Taiyuan
Print_ISBN :
978-1-4244-7235-2
Electronic_ISBN :
978-1-4244-7237-6
DOI :
10.1109/ICCASM.2010.5620758
