多信息融合的步態(tài)偵查技術(shù)研究

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中圖分類號(hào)：D918.2 文獻(xiàn)標(biāo)識(shí)碼：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

復(fù)雜案件偵查本質(zhì)上是復(fù)雜系統(tǒng)中多要素非線性交互的動(dòng)態(tài)過程[1]，其內(nèi)在的混沌性與自適應(yīng)演化特性[2]對(duì)傳統(tǒng)偵查技術(shù)形成嚴(yán)峻挑戰(zhàn)。（剩余14319字）