Video Forgery Detection for Surveillance Cameras: A Review

Author:

Tayfor Noor Bahjat,Rashid Tarik,Qader Shko Muhammed,Hassan Bryar A.1,Abdalla Mohammed Hussein2,Majidpour Jafar2,Ahmed Aram Mahmood3,Sidqi Haval Mohammed4,Salih Abdulrahman5,Yaseen Zaher Mundher6

Affiliation:

1. Charmo University

2. University of Raparin

3. University of Human Development

4. Sulaimani Polytechnic University

5. Northumbria University

6. King Fahd University of Petroleum and Minerals

Abstract

Abstract Although video recording is now a standard feature in smartphones and other digital devices, digital records are affordable and straightforward to take and distribute on social media. Furthermore, digital recordings have recently become an essential part of our daily lives, ranging from personal experiences to surveillance footage that may now be utilised as evidence of proof. Thus, it is essential to create detection algorithms for this kind of captured video because the number of high-standard counterfeit videos on social networks and other media is increasing exponentially. Evaluating the integrity of surveillance videos is crucial with the advanced equipment of surveillance systems. As a result, the rapid increase in surveillance cameras has made progress in physical security, including in building homes, stores, governmental buildings, agencies, etc. Moreover, surveillance videos have lately been extensively used as significant evidence in the courts. The evidence from the video can be crucial for a court of justice and investigators to comprehend the incidents as they happened. Unfortunately, due to the widespread of video editing programs, the video forgery/ tampering process has become incredibly simple. Consequently, the courts refuse to accept these videos as evidence because there is some margin of doubt about their authenticity and integrity. Therefore, to avoid such a situation in the future, more efforts are needed in video forensics. For this reason, this paper reviews primarily all the techniques and methods proposed so far to find out forgery in surveillance recordings and how the authenticity of such videos is proven.

Publisher

Research Square Platform LLC

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