多信息融合的步态侦查技术研究

打开文本图片集

中图分类号：D918.2 文献标识码：A

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.

Keywords： complex cases;multi-source information； gait recognition; fusion application

0 引言

复杂案件侦查本质上是复杂系统中多要素非线性交互的动态过程[1]，其内在的混沌性与自适应演化特性[2]对传统侦查技术形成严峻挑战。（剩余14319字）