Combining Motion and Statistical Features for Static Object Detection

To detect the static object which is relatively static in most time,a method for static object detection was proposed by combining motion and statistical features.The image of inter-frame difference,which was formed by one image subtracted from the image with a pixel offset in row and column,was used to obtain the motion feature.The statistic feature of the target region and candidate region was used to detect the target.The template of the target was updated according to the motion feature and similarity between the target and candidate region.By optimizing extraction of the statistic feature with the integral image and elimination disturbance of strong light,the performance of real-time and robust was improved.