A review of pedestrian pose recognition in cross-passages in public places

Rongyong Zhao; Chengyuan Zheng; Wenjie Zhu; Bingyu Wei; Haonan Li

doi:10.1117/12.3011403

8 November 2023 A review of pedestrian pose recognition in cross-passages in public places

Rongyong Zhao, Chengyuan Zheng, Wenjie Zhu, Bingyu Wei, Haonan Li

Proceedings Volume 12923, Third International Conference on Artificial Intelligence, Virtual Reality, and Visualization (AIVRV 2023); 1292306 (2023) https://doi.org/10.1117/12.3011403
Event: 3rd International Conference on Artificial Intelligence, Virtual Reality and Visualization (AIVRV 2023), 2023, Chongqing, China

Abstract

In recent years, pedestrian stampede accidents in cross-passages of large public places occurred frequently, as an inevitable issue in the area of public security. Abnormal behaviors is one of factors leading to pedestrian stampedes. To recognize behaviors, pedestrian pose recognition is introduced as a hot research topic in the fields of deep learning and computer vision, and has developed into a vibrant research field with various real-world applications, such as human-computer interaction, animation, 3D reconstruction, and abnormal behavior detection. This study reviews literatures related with human pose recognition to pedestrian merging areas such as cross-passage in public places. By detecting abnormal pedestrian behaviors such as falling or crowding, potential accidents in densely crowded areas, such as stampedes, can be prevented, thereby improving public safety. Then, we systematically introduce the methods of pedestrian pose recognition in cross-passage in public places from the perspective of pose estimation and behavior recognition, focusing on the research progress and advantages and disadvantages of each recognition method. Finally, the outlook on challenging issues and future development trends of the pose recognition research is drawn out.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Rongyong Zhao, Chengyuan Zheng, Wenjie Zhu, Bingyu Wei, and Haonan Li "A review of pedestrian pose recognition in cross-passages in public places", Proc. SPIE 12923, Third International Conference on Artificial Intelligence, Virtual Reality, and Visualization (AIVRV 2023), 1292306 (8 November 2023); https://doi.org/10.1117/12.3011403

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
8 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Object detection

Detection and tracking algorithms

Feature extraction

Pose estimation

Image segmentation

Convolutional neural networks

Evolutionary algorithms

Show All Keywords

Keywords/Phrases

Search In:

Publication Years