Motion object detection using wavelet transform and texture feature
利用小波变换和纹理特征实现运动对象检测

Motion object detection is an important issue in the applications of computer vision.A new method to detect motion objects was presented,by comparing the texture diversity between the foreground image and the background image.The texture feature of an image block can be attained from its wavelet domain in different frequency.To adapt itself to the changing environment,an improved method to maintain the background was introduced.The experimental results show that the algorithm is fast and reliable,which meets the requirements of real-time motion object.