Reasrch On A Small Low-contrast Target Tracking Algorithm

Small low-contrast target tracking maneuvering problem in the field of computer vision and image processing is one of the new hot spot, and widely used in military weapons guidance, industrial production lines, medical devices and intelligent transportation and other fields. This article focuses on the maneuvering of small low-contrast target tracking algorithm, which mainly include the two-wave gate tracking algorithm, MeanShift algorithm, Camshift algorithm and Kalman filtering, detection and tracking algorithms.Motor for small targets with low contrast, this paper analyzes two-wave gate tracking algorithm to improve and integrate Camshift kalman filter algorithm, summed up the advantages and disadvantages of two target tracking algorithm. In the combined two-wave door Camshift algorithm, to make up two-wave gate tracking algorithm to improve and integrate Camshift kalman filter algorithm deficiencies. The results show that two-wave combined Camshift algorithm door low contrast background conditions for the continuous images of small target detection and tracking is very effective, but also improve target detection and tracking in real time, stability and accuracy.