基于多属性层次识别的车辆视频 检索系统设计研究

交通监控视频中车辆的有效检测和实时跟踪，是车辆行为分析和识别的前提，也是智能交通系统（ITS） 的核心内容和关键技术。本文在深入分析当前车辆属性识别方法以及车辆视频检索关键技术的基础上，结合交通监控 视频的自身特点，从应用的角度出发，设计一款融合车牌、车身颜色、车型等多个车辆外观属性进行层次识别的机动车辆 检索系统。该系统可为用户提供多种查询方式，从而实现交通监控视频中相关机动车辆的准确检索。

Research on the Design of Vehicle Video Retrieval System Based on Multi-attribute Hierarchical Recognition

The effective detection and real-time tracking of vehicle in traffic surveillance video is the premise of vehicle behavior analysis and identification, and also the core content and key technology of intelligent transportation system (ITS). By analyzing the current key technologies of the vehicle attribute recognition method and vehicle video retrieval, combining with the own characteristics of traffic surveillance video itself and for the purpose of application, this paper designs a vehicle retrieval system which fuses the license plate, body color, vehicle models and other vehicle appearance attributes for hierarchical recognition. The system can provide users with a variety of search methods, so as to realize the accurate retrieval of relevant vehicles in traffic surveillance video.