Sky Background Infrared Target Tracking Based On Particle Filter

Target tracking technology is one of the most popular research topics in the field of modern image processing and vision research. With the development of science and technology, especially the rapid development of computing power and communications technology, breakthrough improvement of the field of image recognition algorithm for target tracking technology to lay a solid theoretical foundation and the possibility of realization in recent years, target tracking technology astronomical prediction, the field of military defense, intelligent monitoring, traffic monitoring has important practical value.This article describes the research status of a ship in the sea and the sky background target tracking, technology and theory of traditional target tracking algorithm, the main work is the particle filter algorithm is applied to the sea and the sky target tracking, and tracking theory for the current applicable to the Haitian target tracking particle filter tracking algorithm, to make preliminary studies for the development of efficient real-time target tracking system for sea and the sky background, the specific content:(1) This paper summarizes several traditional target tracking theory Based on Kalman Filter and Mean-shift algorithm filter theory, experimental simulation of a video tracking, respectively, for these two algorithms, and Kalman Haitian target tracking filter algorithm error simulation, compare the Mean-shift algorithm, using Pap coefficient search target to match the initial frame target.(2) This paper summarizes the sea and the sky background, the traditional particle filter tracking algorithm principle, the singularity of feature selection for target tracking, the comprehensive utilization of the color histogram and texture histogram contains the target observation will after the fusion of color and texture of the target as a target tracking features, the establishment of an adaptive observation model, depending on the track background to take the most appropriate way of sampling. And this improved algorithm with the experiment compared to the traditional particle filter algorithm.(3) For the current high demand real-time target tracking, based on parallel computing particle filter tracking algorithm, the current computer multi-core systems in order to ensure the development of parallel distributed algorithm based on data parallel computation is expressed as a series of tasks, between tasks by using the channel to send messages to communicate with each other. Can not only improve the tracking accuracy, and can effectively meet the hard real-time constraints. In a cluster environment, the design and realization of the parallel algorithm of particle filter to track; group scheduling algorithm to minimize the time consumed by each step of communication overhead. A simulation of this parallel algorithms, data contrast with the traditional serial algorithm, target tracking experiments for this algorithm to the sea and the sky background.