Hierarchical and Networked Vehicle Surveillance in ITS: A Survey

作     者：Tian, Bin Morris, Brendan Tran Tang, Ming Liu, Yuqiang Yao, Yanjie Gou, Chao Shen, Dayong Tang, Shaohu 

作者机构：Chinese Acad Sci Inst Automat State Key Lab Management & Control Complex Syst Beijing 100190 Peoples R China Univ Nevada Dept Elect & Comp Engn Las Vegas NV 89154 USA Chinese Acad Sci Inst Automat Natl Lab Pattern Recognit Beijing 100190 Peoples R China Natl Univ Def Technol Coll Informat Syst & Management Changsha 410073 Hunan Peoples R China North China Univ Technol Beijing Key Lab Urban Intelligent Traff Control T Sch Mech & Elect Engn Beijing 100041 Peoples R China 

出 版 物：《IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS》 (IEEE Trans. Intell. Transp. Syst.)

年 卷 期：2017年第18卷第1期

页      面：25-48页

核心收录：

学科分类：0808[工学-电气工程] 08[工学] 0814[工学-土木工程] 0823[工学-交通运输工程] 

基　　金：National Natural Science of China [71232006, 61233001, 61101220, 61375035] Ministry of Transport of China [2012-364-X18-112] 

主　　题：Behavior understanding computer vision networked surveillance system traffic surveillance vehicle detection vehicle tracking 

摘      要：Traffic surveillance has become an important topic in intelligent transportation systems (ITSs), which is aimed at monitoring and managing traffic flow. With the progress in computer vision, video-based surveillance systems have made great advances on traffic surveillance in ITSs. However, the performance of most existing surveillance systems is susceptible to challenging complex traffic scenes (e.g., object occlusion, pose variation, and cluttered background). Moreover, existing related research is mainly on a single video sensor node, which is incapable of addressing the surveillance of traffic road networks. Accordingly, we present a review of the literature on the video-based vehicle surveillance systems in ITSs. We analyze the existing challenges in video-based surveillance systems for the vehicle and present a general architecture for video surveillance systems, i.e., the hierarchical and networked vehicle surveillance, to survey the different existing and potential techniques. Then, different methods are reviewed and discussed with respect to each module. Applications and future developments are discussed to provide future needs of ITS services.