Block matching algorithm for moving object detection in video forensic

The most challenging issues in video forensic is about detecting tampered moving objects from video sequences. Approaches based on moving object are more complex because making a distinction between tampered and non-tampered regions is difficult. Hence, this study proposed block matching algorithm (BMA) in video copy-move forgery detection scheme to detect regions that represent either tampered or non-tampered moving object. Various search methods have been compared in this study by using standard video forensic dataset to determine the most suitable search method for video copy-move forgery detection scheme. Adaptive rood pattern search (ARPS) has been chosen as the most suitable BMA to detect regions of moving object in video forensic due to its performance.