Detection model and experiments of pedestrian fall behavior in cross passages using Baidu AI

Rongyong Zhao; Chengxiao Dong; Wenjie Zhu; Ping Jia; Yunlong Ma; Cuiling Li; Yan Wang

doi:10.1117/12.2661218

9 December 2022 Detection model and experiments of pedestrian fall behavior in cross passages using Baidu AI

Rongyong Zhao, Chengxiao Dong, Wenjie Zhu, Ping Jia, Yunlong Ma, Cuiling Li, Yan Wang

Proceedings Volume 12492, International Workshop on Automation, Control, and Communication Engineering (IWACCE 2022); 124920L (2022) https://doi.org/10.1117/12.2661218
Event: International Workshop on Automation, Control, and Communication Engineering (IWACCE 2022), 2022, Wuhan, China

Abstract

In public places, the fall behaviors of pedestrians possibly lead to the disturbances of the crowd, and even cause stampedes. This study deals with the problem of identifying anomalous pedestrian behavior in an effort to stop potential stampedes in public areas. In order to detect the fall behavior of pedestrians in public places, Baidu AI was introduced in this paper to detect key skeleton points of pedestrians in a single frame sourced from surveillance videos. The ratio of human height to width and cotangent value of the direction angle of the pedestrian minimum peripheral rectangle are selected as feature vectors. Fall behavior detection model based on SVM is proposed. Experiments are designed and implemented to validate the proposed fall behavior detection model in this paper. This study can provide technical support for early warning and prevention of possible stampede accidents in public places.

Citation Download Citation

Rongyong Zhao, Chengxiao Dong, Wenjie Zhu, Ping Jia, Yunlong Ma, Cuiling Li, and Yan Wang "Detection model and experiments of pedestrian fall behavior in cross passages using Baidu AI", Proc. SPIE 12492, International Workshop on Automation, Control, and Communication Engineering (IWACCE 2022), 124920L (9 December 2022); https://doi.org/10.1117/12.2661218

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
6 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Artificial intelligence

Video

Video surveillance

Image processing

Surveillance

Visual process modeling

Binary data

Show All Keywords

Keywords/Phrases

Search In:

Publication Years