Research on human abnormal behavior detection method based on improved slowfast network

Qing Tian; Sixin Weng; Zheng Zhang

doi:10.1117/12.3038715

23 August 2024 Research on human abnormal behavior detection method based on improved slowfast network

Qing Tian, Sixin Weng, Zheng Zhang

Proceedings Volume 13250, Fourth International Conference on Image Processing and Intelligent Control (IPIC 2024); 1325031 (2024) https://doi.org/10.1117/12.3038715
Event: 4th International Conference on Image Processing and Intelligent Control (IPIC 2024), 2024, Kuala Lumpur, Malaysia

Abstract

The existing methods for detecting abnormal human behavior suffer from the large size of parameters, a lack of capacity to extract spatial-temporal features effectively and also exhibit imbalances between positive and negative samples, as well as between difficult and easy samples. To cope with these problems, this paper improves SlowFast by taking in attention mechanism and changing loss function. Firstly, use grayscale video frame clips as input data on the fast path to reduce GFLOPs effectively. Another improvement involves swapping out the original Non-local modules with ANN modules, enhancing the capability to capture spatial-temporal features while also decreasing the parameter count. Then, use Focal Loss to classify the fused feature map, addressing the issue of imbalance between positive and negative samples, as well as the challenge of classifying difficult and easy samples. The effectiveness and superiority of this method were ultimately verified through the AVA dataset and actual scene videos.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Qing Tian, Sixin Weng, and Zheng Zhang "Research on human abnormal behavior detection method based on improved slowfast network", Proc. SPIE 13250, Fourth International Conference on Image Processing and Intelligent Control (IPIC 2024), 1325031 (23 August 2024); https://doi.org/10.1117/12.3038715

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
5 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Video

Video surveillance

RGB color model

Video processing

Data processing

Feature extraction

Data modeling

Show All Keywords

Keywords/Phrases

Search In:

Publication Years