考虑大厅大跨度空间的视频行人分组模型

IF 5.4 2区 管理学 Q1 BUSINESS, FINANCE Journal of Management Science and Engineering Pub Date : 2023-09-01 DOI:10.1016/j.jmse.2022.12.005
Rongyong Zhao, Yan Wang, Ping Jia, Cuiling Li, Daheng Dong, Yunlong Ma
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引用次数: 0

摘要

行人群检测是行人流控制和公共安全管理中一个具有挑战性而又重要的问题。针对传统行人分组模型(PGMs)只能识别2 m以内有限距离内的行人群体的问题,本文对传统行人分组模型的行人距离约束进行了扩展,重构了常规分组检测准则,并开发了一种适用于大跨度空间的新的分组检测准则。为了测量正常距离下的移动行为相似度,定量研究了速度差、移动方向偏移、距离限制、距离波动和群体保持时间五个必要的约束条件,形成了检测正常群体的标准。同时,提出了一种具有扩展距离和方向一致性约束的大跨度群体检测准则。因此,本研究提出了一种考虑大跨度空间的改进PGM (PGMLS)。在PGMLS工作流中,采用MMTrack算法获取行人轨迹。采用基于序列模式分析(SPA)的差分测量方法对行人速度相似性进行分析。为了验证所提出的分组模型,基于上海虹桥国际机场出口大厅行人运动视频进行了实验。结果表明,该模型既可以检测正常行人群,也可以检测距离较远的行人群,其检测范围为2 ~ 12 m。
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Video-based pedestrian grouping model considering long-span space in a big hall

Pedestrian group detection is a challenging but significant issue in pedestrian flow control and public safety management. To address the issue that most conventional pedestrian grouping models (PGMs) can only identify a pedestrian group at a limited distance of less than 2 m, this study extended the pedestrian distance constraint of conventional PGMs with a reconstruction of the normal group detection criterion and development of a novel group detection criterion suitable for long-span space. To measure the movement behavior similarity with normal distance, five necessary constraints: velocity difference, moving direction offset, distance limitation, distance fluctuation, and group-keeping duration were studied quantitatively to form the criterion to detect normal groups. Meanwhile, a long-span group detection criterion was proposed with extended distance and direction consistency constraints. Therefore, this study proposed an improved PGM that considers long-span spaces (PGMLS). In the PGMLS workflow, the MMTrack algorithm was used to obtain pedestrian trajectories. A difference measurement method based on sequential pattern analysis (SPA) was adopted to analyze the velocity similarity of pedestrians. To validate the proposed grouping model, experiments based on pedestrian movement videos in the exit hall of the Shanghai Hongqiao International Airport were conducted. The results indicate that the proposed model can detect both normal and widely separated pedestrian groups, with a long span range of 2–12 m.

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来源期刊
Journal of Management Science and Engineering
Journal of Management Science and Engineering Engineering-Engineering (miscellaneous)
CiteScore
9.30
自引率
3.00%
发文量
37
审稿时长
108 days
期刊介绍: The Journal of Engineering and Applied Science (JEAS) is the official journal of the Faculty of Engineering, Cairo University (CUFE), Egypt, established in 1816. The Journal of Engineering and Applied Science publishes fundamental and applied research articles and reviews spanning different areas of engineering disciplines, applications, and interdisciplinary topics.
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