Self-adaptive threshold tracking algorithm of Infrared Weak-Small Targets
To detect IWST, foreign and domestic scholars put forward many meaningful detection methods. However, most of the algorithms are too much complex in the calculation to meet real-time and reliability requirements in practical application. A simple self-adaptive threshold algorithm to capture and track the IWST is presented in this paper. Testing results showed that algorithm not only effectively extract IWST and track it through the clouds in the sky background, but also has a strong robustness for the interference of background noises.
Infrared Weak-Small Targets Self-adaptive threshold Video tracking Real time
Zhaohui Xu Yongkang Zhang Yan Tian Huijun Tang Junxia Wei
Xian Institute of Optics and Precision Mechanics of CAS,Xi’an 710068
国际会议
桂林
英文
1-5
2011-11-01(万方平台首次上网日期,不代表论文的发表时间)