Research On Moving Object Detection Tracking Technology In Image Sequences

Research on moving object detection and tracking technology in image sequences is a new arising field on the computer vision. It merges many technologies including the science of computer, machine vision, image engineering, pattern analysis, artificial intelligence, etc, is widely applied in many aspects such as military, industries, life, and so on.The paper is focus on such aspects such as moving object detection, background modeling method, shadow detecting, objects continuous tracking. Large numbers of researchers have been devoting themselves in the field and have already achieved many productions. Based on the relevant research working home and abroad, the paper introduces research and attempt. The main research can be summarized as follow:(1) The paper analyses and discusses cunent methods on retrieving foreground and the relevant principles in first part of moving object detecting and retrieving. Retrieving backing is based on the method of the background difference, and morphology can be applied to process the foreground image in order to get an integrity and true object. And then the paper introduces methods of background modeling and compares the results by the correlation experiments. According the results of the experiment, although the mixture Gaussian background model can describe background correctly, the algorithm and calculation complexity are too high. So a new background modeling method can be referred, which combines the median method background modeling with the mixture Gaussian model. The detail is: in the moving object field, Gaussian mixture background modeling can be used, and in the other field, the median method can be used. Experiments show good result can be achieved.(2) In processing of detecting and tracking moving objects, some factors lead to unexpected results, and shadow is one of the most important factors. The paper describes characteristic of shadow and the situation about how to remove shadow in home and abroad. When color in the background is similar with moving object that should be detected, it is possible for the HSI color model to bring down the efficiency of object detecting. Based the situation, the paper proposes an efficiency remove shadow algorithm which combines HSI color information model with first order gradient information model. In order to prove the efficiency, an experiment can be taken by the image sequence and analyzed the results. Experiments show improved algorithm based on the HSI color information model is efficient.(3) In part of moving object tracking, this paper introduces some basic models and algorithms principles. And then, as moving objects in the scene may present some kinds of different moving states, the paper presents the detail methods about how to judge different states by object information space. Correlation matching algorithm can be applied for tracking moving object. In the paper, correlation index can be judge whether plate matches or not, and crossing searching method is searching method. The traditional searching method is much lower and less efficiency. In order to make the searching method more efficiency, the algorithm is improved. Experiments show the result is good.