Moving Object Detection and Tracking Algorithm Using Hybrid Decomposition Parallel Processing

Moving object detection, classification and tracking are more crucial challenging task in most of the computer vision machine applications such as robot navigation, human behavior analysis, traffic flow analysis etc. However, detection algorithms not suitable for real time processing causes slower speed due to analyzing high resolution video from high-end multiple cameras. It requires computation storage. To address aforementioned problem, this paper proposes a way parallel temporal frame differencing algorithm contour using mixture functional domain decomposition techniques. has two main contributions. First, steps parallelized technique. Second, frames each is again Finally, performance evaluated Aneka Private Cloud platform which yields detect track very swiftly accurately.