综述监控视频伪造检测技术，助力司法取证可信
Video Forgery Detection for Surveillance Cameras: A Review
- 系统梳理压缩分析、帧重复检测与机器学习等溯源方法
- 指出现有技术对新型伪造手段应对能力不足，需增强鲁棒性
- 适合安全、司法及数字取证领域研究者参考
智能手机和数码设备的普及使视频证据比以往更易获取。监控视频在安保、执法和司法中至关重要，但随着高级视频编辑工具的兴起，篡改数字录像变得越来越容易，引发对其真实性的担忧。确保监控视频完整性至关重要，因被篡改的影像可能导致误导性信息并损害司法判决。本文全面综述了现有的视频伪造检测技术，重点评估其在验证监控录像真实性方面的有效性。涵盖压缩特征分析、帧重复检测以及基于机器学习的方法。研究发现，面对不断演进的伪造手段，亟需更强大的取证技术。提升视频取证能力将保障监控记录作为法律证据的可信度与可采信性。
原文摘要 · Abstract (English)
The widespread availability of video recording through smartphones and digital devices has made video-based evidence more accessible than ever. Surveillance footage plays a crucial role in security, law enforcement, and judicial processes. However, with the rise of advanced video editing tools, tampering with digital recordings has become increasingly easy, raising concerns about their authenticity. Ensuring the integrity of surveillance videos is essential, as manipulated footage can lead to misinformation and undermine judicial decisions. This paper provides a comprehensive review of existing forensic techniques used to detect video forgery, focusing on their effectiveness in verifying the authenticity of surveillance recordings. Various methods, including compression-based analysis, frame duplication detection, and machine learning-based approaches, are explored. The findings highlight the growing necessity for more robust forensic techniques to counteract evolving forgery methods. Strengthening video forensic capabilities will ensure that surveillance recordings remain credible and admissible as legal evidence.
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