標題: Accelerating Vanishing Point-Based Line Sampling Scheme for Real-Time People Localization
作者: Liu, Chin-Wei
Chen, Hua-Tsung
Lo, Kuo-Hua
Wang, Chih-Jung
Chuang, Jen-Hui
交大名義發表
資訊工程學系
National Chiao Tung University
Department of Computer Science
關鍵字: Line sampling;multiple cameras;people localization;probabilistic occupancy map (POM);vanishing point;video surveillance
公開日期: 1-Mar-2017
摘要: In advanced video surveillance systems, people localization is usually a part of the complete system and should be accomplished in a short time so as to reserve sufficient processing time for subsequent high-level analysis, such as abnormal event/ behavior detection and intruder detection. Hence, in addition to localization accuracy, computational efficiency is of critical importance as well. In this paper, we adopt a vanishing point-based line sampling scheme and propose a fast multicamera people localization approach capable of locating a crowd of dense people and estimating their heights in a fairly short time with high accuracy. For each camera view, sample lines, originated from a vanishing point, of foreground objects are projected onto the ground plane. Then, people locations are estimated by detecting the ground regions containing a high density of the projected lines. Enhanced from some previous works, the proposed approach does not require processing steps of high computation cost, such as projecting all foreground pixels of all views to multiple reference planes or computing pairwise intersections of projected sample lines at different heights. In addition, some novel acceleration modules, such as torso validation and physical rule-based filtering, are developed to further reduce the computation time of people localization. The experiments on real surveillance scenes validate that the proposed approach achieves significant speedup (up to 186%) over state-of-the-art techniques while still ensure a comparably high localization accuracy, even for crowded scenes with serious occlusions.
URI: http://dx.doi.org/10.1109/TCSVT.2017.2649019
http://hdl.handle.net/11536/145176
ISSN: 1051-8215
DOI: 10.1109/TCSVT.2017.2649019
期刊: IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY
Volume: 27
起始頁: 409
結束頁: 420
Appears in Collections:Articles