An Novel Infrared Target detection and tracking Algorithm based on morphological filters
In this paper, we propose a robust approach for detection and tracking targets in forward looking infrared (FLIR) imagery taken from an airborne moving platform. Based on target intensity and shape information, motion criteria, the proposed algorithm involves three modules. Firstly, we use tracking window combining with multiscale morphological filters which can better preserve edges and increase implementation speed to remove noise and clutter. Secondly, target is detected by segment the image to produce a binary image. In the last step, our algorithm uses spatial-temporal connectivity to detect and track target. The experiments performed on FLIR image sequences, show the robustness of the proposed approach.
FLIR image target detection and tracking multiscale morphological filters
Hu Xin
School of Electric & Control Engineering, Changan University, Xian, China
国际会议
2009 International Workshop on Information Security and Application(2009 信息安全与应用国际研讨会)
青岛
英文
260-263
2009-11-21（万方平台首次上网日期，不代表论文的发表时间）