Pedestrian Tracking Based on Improved Particle Filter Under Complex Background
When tracking a moving human target,the traditional particle filter algorithm based on color characteristic cant get accurate results in situations like complicated background or frequent brightness change.Due to the problem,this paper put forward a particle filter algorithm based on combination of color characteristics and shape features of the target.Firstly,fusing the above-mentioned two features into the particle filter frame to calculate the particle weights and achieve the human tracking goal through image sequences.The experimental results show that the algorithm can improve the traditional tracking algorithms based on single color feature limitations.And greatly improves the accuracy and effectiveness of the human tracking under complex background.
component Particle filter Color feature Shape feature Joint similarity
Yu Fu Xiang Long
College of Information Science & Technology Hainan University Haikou,570000,China College of Information Science & Technology Hainan University Haikou,570000.China
国际会议
太原
英文
792-797
2012-12-08（万方平台首次上网日期，不代表论文的发表时间）