Object Detection using Wavelet Transform Method for Three-way Decomposed Images

Moving object detection and tracking is often the first step in applications such as video surveillance. It is hard to detect the object in turbulent medium where the object is moving also. Three-way decomposition methods which can detect moving object in turbulent medium. But it suffers to obtain outlier of the object clearly, final output image is without background. In this paper, it is proposed a novel approach which is used to enhance target and restrain noise using wavelet transform and image fusion and is applied for obtaining the object outlier with background. In this method the original decomposed background and image is fused and it is decomposed and reconstructed by wavelet and it is separated into a low frequency image and some high frequency images., secondly, the low frequency image is removed and the high frequency images are fused into a new image, finally, the fused image is segmented with threshold and the target is detected and signed by retaining the background. The simulated results in Matlab for the PSNR of the obtained frames determined in the proposed method was found to be 7% less than the three-way decomposition method. Keywords—vision system, moving object detection, bi orthogonal spline wavelet, and three-way Decomposition