Target Tracking Based on Multi-color Joint Probability Statistics Model

摘要：

For real-time target tracking under complex scene, a target tracking algorithm based on multi-color joint probability analysis model was presented. The algorithm adopted color histogram to represent the target statistical characteristic with Camshift principle, and carried out exploratory research in such aspects as multichannel joint color features statistics, projection map area weighted processing, the tracking window size and position calculating, algorithm processing mechanism of circulation. It used red (R), green (G), blue (B), hue(H), luminance (Y) channel color as the target observed characteristics, and designed the calculation method based on the probability statistic to distinguish any color target from complex scene. It also established the calculation method for tracking window size and position which adapted the multi-color model. Using weighting projection map area method, the background interference around the target potential area was eliminated. At last, more reasonable convergence judgment and the algorithm cycle rules were put forward. After the experimental certification, the real-time performance and detection ratio present a good result.

关键词： target tracking multi-color model Camshif probability statistics

作者: Li Hongguang Ding Wenrui Liu Chunhui Zheng Junling

作者单位: Research Institute of Unmanned Aerial Vehicle Beijing University of Aeronautics and Astronautics Bei School of Electronics and Information Engineering Beijing University of Aeronautics and Astronautics

会议类型: 国际会议

会议名称: 2011 4th International Congress on Image and Signal Processing(第四届图像与信号处理国际学术会议 CISP 2011)

会议地点: 上海

会议语种:英文

页码: 446-450

在线出版日期: 2011-10-15（万方平台首次上网日期，不代表论文的发表时间）