The System Design for Improving Vechicle Detection Precision Based on Image Processing

摘要

Research on moving vehicle detection based on Video and Image Processing is a significant research topic in image processing and computer vision, and is also a basic and key work in intelligent traffic system field, which directly affects the follow-on object identification and tracking, analysis and understanding of the traffic scene. In this paper detection of moving vehicles has been studied, analyed and summarized the existing moving object detection technology, an moving vehicle detection system is introduced and designed. In the system the improved frame difference method combined with image contrast enhancement and morphological filter is proposed, which can effectively solve the background difference method and frame difference method can not extract the regions of interest effectively, besides, using a connected region labeling method to fill the voids in the middle of the vehicle image, the target area becomed more complete and clear. Using this kind of system can reduce computation, improve identification speed, and receive better robustness and higher recognition effect to recognize vehicles more efficiently. Therefore the research contents and the system design have the practical significance to the research of vehicle detection technology based on the video.