The Design And Implementation Of Moving Object Detection And Tracking System Based On Image Processing

Motion object detection and tracking is the main research field in computer vision and image coding, which has been widely applied in military, medicine and scientific research etc. The accuracy and stability of tracking effect depend on the design of algorithms to a great extent. It is still a hot point to research an accurate and robust algorithm in computer vision.In this Paper, a digital image capturing system is constructed. The hardware and software part of the system are chosen according to practical needs. Then the presently common methods on detection and tracking of moving objects are introduced. This paper which is based on digital pattern process technology designs a fast and effective pattern recognition process system for motion object detection and tracking system.For moving object detection, three methods, including 'differential between adjacent frames', 'background subtraction' and 'optical flow', are discussed. According to the characteristic of video images, the thesis studies the tracking algorithm based on inter-frame difference, It makes use of strong correlations in serial images. For the first method, pre-processing such as filtering, noise reduction and smoothing must be made before differencing, then differencing method on two sequential frames is implemented. Using threshold value to transform the gray level picture into two black-and-white value picture, then images including moving information are filted by morphological filtering to eliminate background noise, lastly the object contour is abstracted. It is high-speed and convient to operate.For moving object tracking, the accuracy and stability of objects tracking depend on moving objects tracking algorithms to a great extent. Most of the current approaches proposed are mainly feature-based or motion-based. These approaches are reliable to track objects, but they have a lot of data to be processed and they are too complicated to apply in real time. In this paper, two tracking algorithms, 'sequential similarity detection algorithm' and 'projection algorithm', are researched in details by analyzing the current algorithms of objects detecting and tracking. By using of Visual C++ programming and the law of projection, The object's position is computed according to the horizontal and vertical projections of projected image. The results of experiments indicate that the proposed algorithms are effective.