Tracking of Objects in Video by Using Median Filters, Segmentation & Discrete Wavelet Transform

This paper deals with the tracking of objects in video by using segmentation and median filter based method. Intelligent visual surveillance system can be used many different methods for detection of moving targets. Advantages and disadvantages of two common algorithms frequently used in the moving target detection: background subtraction method and frame detection method are analyzed and compared in this paper. Then based on the background subtraction method, a moving target detection algorithm is proposed. The background image used to process the next frame image is generated through superposition of the current frame image and the current background image with a certain probability. This algorithm makes the objects which stay long time to be a part of the background after a certain period of time, but not be detected as a part of foreground. The experimental results show that this algorithm can detect moving targets more efficiently and precisely.