Multi-part Cooperative Tracking Algorithm Research On Human Target In Aquatic Sports

As an important branch of the computer vision,moving target tracking is widely used in security project,taffic surveillance,etc.In recent years,due to the popularity of aquatic sports and the enhancement of safety consciousness,more and more experts and scholars pay attention to the aquatic human tracking.Because the background environment and the target movement forms in aquatic human tracking is different from the human tracking on the ground,its occlusion problem has distinctive features.The tracking effect is not ideal in the water environment which uses the tracking algorithm apply to the land environment.The focus of this paper is how to deal with the interference in the complex water environment,solves the problem of immersion occlusion,guarantees a good tracking effect.According to the complex water environment and the characteristic of Meanshift algorithm,this paper presents a number of preprocessing method of the image pixels and discusses the parameter selection of Meanshift algorithm thoroughly through the comprehensive analysis of water video.On this basis,according to a large number of experiments,this paper obtains the law of immersion occlusion and provides a new thinking for the aquatic human tracking.For the situation of inaccurate tracking with the Meanshift algorithm,this paper adopts the method of tracking the 3 parts of human to solve the problem.According to the analysis of the law of immersion occlusion,this paper obtains 7 conditions of influencing the tracking.This paper uses the constraints of spatial position and the time domain to give the correction method respectively,solve the effect of immersion occlusion and improve the tracking accuracy.This paper takes the software realization of the multi-part cooperative tracking algorithm after several tests,it proves that the multi-part cooperative tracking algorithm compares with the Meanshift algorithm has improved in the tracking length of time and accuracy.The multi-part cooperative tracking algorithm can solve the problem of immersion occlusion effectively and improve the tracking effect.