A fast object detection algorithm using motion-based region-of-interest determination

In this paper, we present a new fast algorithm for achieving motion-based object detection in an image sequence. While in most existing object-detection algorithms, segmentation of the image is done as the first step followed by grouping of segments, the proposed algorithm uses the motion information to first identify what we call region of interest. Segmentation is done only within a square of interest which completely encloses the region of interest. Then the segments are combined to obtain the final segment, which closely matches the shape of the object to be detected. Since the region of interest is always smaller than the image, the proposed algorithm is 2 to 4 times faster than every existing algorithm for object detection. In terms of the accuracy with which desired object is detected, the performance of our algorithm is comparable to the existing algorithms.