<  Back to the Polytechnique Montréal portal

SSTAR: Skeleton-Based Spatio-Temporal Action Recognition for Intelligent Video Surveillance and Suicide Prevention in Metro Stations

Safwen Naimi, Wassim Bouachir, Guillaume-Alexandre Bilodeau and Brian Mishara

Paper (2025)

An external link is available for this item
Research Center: LITIV - Images and video processing laboratory
ISBN: 9798331536626
PolyPublie URL: https://publications.polymtl.ca/64785/
Conference Title: IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW 2025)
Conference Location: Tucson, AZ, USA
Conference Date(s): 2025-02-28 - 2025-03-04
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/wacvw65960.2025.00091
Official URL: https://doi.org/10.1109/wacvw65960.2025.00091
Date Deposited: 01 May 2025 10:01
Last Modified: 01 May 2025 10:01
Cite in APA 7: Naimi, S., Bouachir, W., Bilodeau, G.-A., & Mishara, B. (2025, February). SSTAR: Skeleton-Based Spatio-Temporal Action Recognition for Intelligent Video Surveillance and Suicide Prevention in Metro Stations [Paper]. IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW 2025), Tucson, AZ, USA. https://doi.org/10.1109/wacvw65960.2025.00091

Statistics

Dimensions

Repository Staff Only

View Item View Item