Acta Photonica Sinica, Volume. 42, Issue 7, 849(2013)
A Small IR Target Detection and Tracking Algorithm Based on Morphological and Genetic-particle Filter
Aiming at small IR target dectection and tracking in complex background, a method based on the top-hat detection algorithm, genetic algorithm and particle filter is presented. Firstly, a sub-frame extracting method is used for the removal of the background and noise around target, which effectively reduces the number of pixels participating in operation; secondly, a few structures with different edge characteristics are introduced in the top-hat algorithm, which greatly improve the efficient for the detection of the pre-target from sub-frame; thirdly, based on the correlation of target movement in time and space domain, a threshold judgment technology is used to remove the false targets; finally, the genetic algorithm is introduced into the particle filtering to enhance the diversity of particles, which can effectively improve the real-time and the precision of target tracking. The experimental results show that the presented algorithm has obvious superiority in detection correctness and tracking accuracy and robustness.
Get Citation
Copy Citation Text
WANG Ling-ling, XIN Yun-hong. A Small IR Target Detection and Tracking Algorithm Based on Morphological and Genetic-particle Filter[J]. Acta Photonica Sinica, 2013, 42(7): 849
Received: Oct. 29, 2012
Accepted: --
Published Online: Jul. 16, 2013
The Author Email: Ling-ling WANG (casey_wl@126.com)