A novel framework for automated monitoring and analysis of high density pedestrian flow-Reference-Cited by-同舟云学术

A novel framework for automated monitoring and analysis of high density pedestrian flow

Published:2019-09-11 Issue:6 Volume:24 Page:585-597
ISSN:1547-2450
Container-title:Journal of Intelligent Transportation Systems
language:en
Short-container-title:Journal of Intelligent Transportation Systems

Author:

Baqui Muhammad¹^ORCID,Samad Manar D.²,Löhner Rainald¹

Affiliation:

1. College of Science, George Mason University, Fairfax, Virginia, USA;

2. Department of Computer Science, Tennessee State University, Nashville, Tennessee, USA

Publisher

Informa UK Limited

Subject

Applied Mathematics,Computer Science Applications,Aerospace Engineering,Automotive Engineering,Information Systems,Software,Control and Systems Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/15472450.2019.1643724

Reference35 articles.

1. Optimization based controlled evacuation

2. Baqui, M. & Löhner, R. (2019). Pedpiv: Pedestrian velocity extraction from particle image velocimetry. IEEE Transactions on Intelligent Transportation Systems.

3. Automatic Extraction of Pedestrian Trajectories from Video Recordings

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