Low-Complexity Technique to Improve Detectable Motion of Moving Objects in a Sequence of Images

The use of low-intricacy techniques for fast and efficient detection of moving objects is considered quite challenging because it often leads to undesirable results. In this study, we propose an innovative technique that improves the motion detection process for moving objects. The proposed technique employs only a few distinct steps to obtain desirable results. First, the intensity difference between every two images is determined by an ameliorated image-difference detection method to identify the eminent regions of movement. Second, an abridged grayscale conversion method is proposed to provide more detailed information about the identified motion. Third, a two-dimensional order-statistic filtering process is applied to enhance the details and contours of the detected motion. Finally, a proper post-processing method is used to reduce the number of unwanted artifacts and refine the overall quality of the output. The results of our study revealed the efficiency of the proposed technique. Specifically, it performed extremely well in detecting the motion of objects and enhanced their displayed regions of movement.