Survey on similar object detection in H.264 compressed video

摘要

Similar object detection is an important feature that must be included in any object tracking application which will have great impact on video surveillance. Object tracking is a dynamic optimization process based on the temporal information related to the previous frames. The primary steps of object tracking are preprocessing, background subtraction and segmentation, similar object detection and object tracking. Self-similarity [23] is an attractive image property which has recently found its way into object recognition in the form of local self-similarity descriptors. In this work, global as well as local self-similarity descriptors are discussed to find the similar object detection.