Introduction - If you have any usage issues, please Google them yourself
With the rapid development of intelligent surveillance technology based intelligent video digital video surveillance system to replace the original human surveillance in public places in a growing number of applications received. However, in actual outdoor monitoring environment, due to the light changes and the diversity of the initial background samples, it is difficult to establish a good background samples. In response to these problems, proposed an adaptive background modeling method. Adaptive which refers to two aspects: first, the background is automatically updated Second, do not need to use a background as a model for the training sample frame input. On this basis, the establishment of intelligent vehicle monitoring system for outdoor traffic environment. Experimental results show that the proposed method has achieved good results in the detection of vehicle dynamic scenes.