Detecting removed object from video with stationary background

Authors:
Leida Li;Xuewei Wang;Wei Zhang;Gaobo Yang;Guozhang Hu
Affiliations:
School of Information and Electrical Engineering, China University of Mining and Technology, Xuzhou, China,Shanghai Key Laboratory of Integrate Administration Technologies for Information Security ...;School of Information and Electrical Engineering, China University of Mining and Technology, Xuzhou, China;School of Information and Electrical Engineering, China University of Mining and Technology, Xuzhou, China;School of Information Science and Engineering, Hunan University, Changsha, China;Department of Neurosurgery, China-Japan Union Hospital, Jilin University, Changchun, China
Venue:
IWDW'12 Proceedings of the 11th international conference on Digital Forensics and Watermaking
Year:
2012

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Abstract

This paper presents a method for detecting the removed object in video captured by stationary camera. The method is based on an observation that the removed object, while not distinguishable by human eyes, leaves artifacts that can be detected by computers. In this paper, the block based motion estimation method is employed to extract motion information from adjacent video frames. Then the magnitude and orientation of the motion vectors are used to differentiate the authentic region and the forged region. By exploring the discrepancies in motion vectors, the position of the removed object can be revealed. The efficiency of the proposed method is demonstrated by experiments.