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| Research on Gait Investigation Technology Based on Multi-information Fusion |
| FENG Lei1,2, ZHAO Xingchun2, ZHOU Yangjun3
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1. School of Criminal Investigation, People′s Public Security University of China, Beijing 100038, China;
2. Institute of Forensic Science, Ministry of Public Security, Beijing 100038, China;
3. Changsha Public Security Bureau Criminal Investigation Detachment, Changsha 410001, China |
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Abstract Complex criminal cases today present systematic characteristics of multi-factor coupling and dynamic evolution, and their investigation process faces the challenge of nonlinear information integration. Criminal suspects use anti-detection methods such as changing clothes and shoes, facial obstruction, and posture camouflage, combined with complex environmental interference, which significantly reduces the practical effectiveness of single technical means such as face recognition and video structuring. In order to resolve this problem, this article focuses on the actual needs of suspect identification and tracking, breaks through the recognition bottleneck of a single modality, systematically integrates multi-information such as video structuring, face recognition, and gait recognition, and proposes a multi-information fusion video investigation system with gait recognition as the core, which realizes the dual characterization of suspect behavior patterns and identity characteristics, and provides a new technical path for improving identity recognition capabilities and the efficiency of solving complex cases.
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Received: 06 April 2025
Published: 03 June 2025
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