VISUAL IMAGE SEQUENTIAL MOTION DETECTION VIA HALF QUADRATIC MINIMIZATION METHOD

In this paper, we present a straightforward numerical algorithm for visual image sequential motion detection based on half quadratic minimization method. As for the standard visual image sequences with RGB color representation, an intuitive way is to convert it to grayscale image to achieve an approximate motion detection with relatively low computational load. Instead, we propose a sequential processing scheme for more accurate detection by utilizing the motion detection algorithm separately and then performing fusion on a higher level. In this way, we extend the motion detection technique for grayscale images to be capable of dealing with visual videos. Experiment results show that the proposed algorithm can provide more robust motion detection performance and be successfully utilized in practical visual surveillance applications.