Integrating Features for Man-made Target Tracking from FLIR image Sequence Using Particle Filter
A new man-made target tracking algorithm integrating features from (Forward Looking InfraRed) image sequence is presented based on particle filter. Firstly, a multiscale fractai feature is used to enhance targets in FLIR images. Secondly, the gray space feature is defined by Bhattacharyya distance between intensity histograms of the reference target and a sample target from MFF (Multi-scale Fractal Feature) image. Thirdly, the motion feature is obtained by differencing between two MFF images. Fourthly, a fusion coefficient can be automatically obtained by online feature selection method for features integrating based on fuzzy logic. Finally, a particle filtering framework is developed to fulfill the target tracking.Experimental results have shown that the proposed algorithm can accurately track weak or small man-made target in FLIR images with complicated background. The algorithm is effective, robust and satisfied to real time tracking.
FLIR fractal feature target track particle filter
Jun Liu Hong Wei
School of Automation Hangzhou Dianzi University Hangzhou, China School of Systems Engineering University of Reading Reading, UK
国际会议
长沙
英文
1609-1613
2010-03-13（万方平台首次上网日期，不代表论文的发表时间）