Moving Object Detection And Tracking In Dynamic Scenes

Moving object detection and tracking remain as the hot spot issue in the field of computer vision. They have been widely used in various fields like intelligent monitoring, military hardware, autonomous navigation and medical diagnosis. However, Many questions have not been resolved yet in the dynamic scenes of moving object detection and tracking because of the flux and reflux of the moving camera. Thus the paper conducts an investigation to the encountered problem in dynamic scenes. The main tasks can be summed up as follows:1. To sovle the problem of the constantly changing background caused by the moving camera and the different motion vector caused by objects of different level, We propose geometric constraints method based on SIFT to classify a pixel as moving or static. The constraint, we use, is the multi-view epipolar constraint which requires images of static points to lie on the corresponding epipolar lines in subsequent images. If the point far away from the corresponding epipolar line, then we can set the point as a static point. Thereby, moving objects can be detected even in the case of widely difference of the background scenes.2. Aimed at the case of high computation complexity of feature descriptor in the conventional SIFT algorithm, we propose the method of rapid building feature descriptor using the integral histogram, which is to reduce the computation complexity and satisfy the real-time of object detection and tracing.3. Aimed at the scale changing of the moving objects in the dynamic scene, we propose the improved mean shift algorithm of self-adapting changing scale on the basis of analyzing the fixed kernel bandwidth of conventional mean shift algorithm.4. The moving objects frequently meet the case of static barrier shading or the several dynamic targets pasting and shading with each other in the motor process. Accordingly, aimed at the static barrier shading of dynamic objects, we propose the mean shift algorithm combined with the Kallman filtering to estimate the target location in the case of shading. And aimed at two or more dynamic objects shading with each other and their shape and scale changing in the case of camera moving, we propose the moving objects tracing algorithm combined with the real time detection and update the tracing algorithm of the real time detection result. The tracing result feeds back the detection veracity.At last, the thesis sums up the research work and raises the train of thought of the follow-up research work. It will be have directive significance to the future research.