A Moving Object Detection Algorithm Based on Color Information
This paper designed a new algorithm of moving object detection for the aim of quick moving object detection and orientation, which used a pixel and its neighbors as an image vector to represent that pixel and modeled different chrominance component pixel as a mixture of Gaussians, and set up different mixture model of Gauss for different YUV chrominance components. In order to make full use of the spatial information, color segmentation and background model were combined. Simulation results show that the algorithm can detect intact moving objects even when the foreground has low contrast with background.
X H Fang W Xiong B J Hu L T Wang
The Institute of Command and Technology of Equipment, Beijing, 101416, China Unit 92941, PLA, Huludao, Liaoning, 125000, China
国际会议
第四届仪器科学与技术国际会议( 4th International Symposium on Instrumentation and Science and Tcchnology)
哈尔滨
英文
384-387
2006-08-08（万方平台首次上网日期，不代表论文的发表时间）