25 October 2016 A long-term target detection approach in infrared image sequence
Author Affiliations +
Proceedings Volume 10158, Optical Communication, Optical Fiber Sensors, and Optical Memories for Big Data Storage; 101581E (2016) https://doi.org/10.1117/12.2247391
Event: International Symposium on Optoelectronic Technology and Application 2016, 2016, Beijing, China
Abstract
An automatic target detection method used in long term infrared (IR) image sequence from a moving platform is proposed. Firstly, based on POME(the principle of maximum entropy), target candidates are iteratively segmented. Then the real target is captured via two different selection approaches. At the beginning of image sequence, the genuine target with litter texture is discriminated from other candidates by using contrast-based confidence measure. On the other hand, when the target becomes larger, we apply online EM method to estimate and update the distributions of target's size and position based on the prior detection results, and then recognize the genuine one which satisfies both the constraints of size and position. Experimental results demonstrate that the presented method is accurate, robust and efficient.
© (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Hang Li, Hang Li, Qi Zhang, Qi Zhang, Xin Wang, Xin Wang, Chao Hu, Chao Hu, } "A long-term target detection approach in infrared image sequence", Proc. SPIE 10158, Optical Communication, Optical Fiber Sensors, and Optical Memories for Big Data Storage, 101581E (25 October 2016); doi: 10.1117/12.2247391; https://doi.org/10.1117/12.2247391
PROCEEDINGS
6 PAGES


SHARE
Back to Top