A Motion Object Detecting Algorithm Applied for Constant Speed Dome Camera in Surveillance Camera System
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 cameras 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.
constant speed dome camera template matching accumulative difference image recursive least square
Yi Liu Mingming Xiao
Information College Zhongkai University of Agriculture and Engineering Guangzhou, China
国际会议
太原
英文
361-365
2010-10-22（万方平台首次上网日期，不代表论文的发表时间）