| Popis: |
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. |
