Multi-object Vehicles Detection Algorithm Based on Computer Visiony

This paper focused on analyzing the algorithm of multi-object vehicles detection and picking up in the vision field when the camera is fixed. From the perspective of given condition and environment, combining the key and difficult points, according to the continual vision sequence recorded by camera, discussing and analyzing the several realization algorithms of the multi-moving vehicles detection, extraction, identification and classification. On this basis we present modification and improvement of the relevant algorithms. Therefore in the limit of given condition, effectively increasing the real-time, object, robustness and adaptability multi-moving vehicles detection and extracting.