Prof. Yan Cheng Profile

Prof. Yan Cheng

SPIE Involvement:

Author

Publications (1)

This will count as one of your downloads.

You will have access to both the presentation and article (if available).

DOWNLOAD NOW

This content is available for download via your institution's subscription. To access this item, please sign in to your personal account.

Email or Username Forgot your username?

Password Forgot your password?

Show

Keep me signed in

No SPIE account? Create an account

Proceedings Article | 13 June 2024 Paper

Integrating 3D convolutional neural networks and transformer for video action recognition

Yan Cheng, Lingfeng Wan

Proceedings Volume 13180, 131805D (2024) https://doi.org/10.1117/12.3033760

KEYWORDS: 3D modeling, Video, Video coding, Transformers, Video surveillance, Action recognition, Data modeling, Performance modeling, Feature extraction

Read Abstract +

In the field of video action recognition, the challenge of efficiently extracting video features while ensuring computational efficiency has been addressed in our study. We propose a novel video action recognition model named 3D ResNet-Transformer that integrates 3D ResNet (Residual Networks) with Transformer architecture. Utilizing 3D ResNet as the foundation, our model effectively captures spatial features of videos through its deep network structure. Additionally, the integration of Transformer encoding layers enhances temporal-spatial correlations between video features via its self-attention mechanism, thereby improving recognition accuracy. Our design synergizes the strengths of 3D ResNet and Transformer, combining their powerful capabilities effectively. Experimental results on standard video action recognition datasets, HMDB51 and UCF101, demonstrate superior performance of our model, with accuracy improvements of 3.4% and 0.4% over baseline models, achieving TOP-1 accuracies of 82.1% and 97.4%, respectively. This research validates the effectiveness and innovation of our integrated 3D ResNet and Transformer model in enhancing video recognition accuracy.

My Library

You currently do not have any folders to save your paper to! Create a new folder below.

Folder Name

Folder Description

View contact details

UPDATE YOUR PROFILE

Is this your profile? Update it now.

Sign into your SPIE.org account

Don’t have a profile and want one?

Create an account on SPIE.org

Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks. You are receiving this notice because your organization may not have SPIE eBooks access.*

*Shibboleth/Open Athens users─please sign in to access your institution's subscriptions.

To obtain this item, you may purchase the complete book in print or electronic format on SPIE.org.

ORGANIZATIONAL
Sign in with credentials provided by your organization.

Organizational Username

Organizational Password

Show/Hide Password

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:

Non-members: ADD TO CART

Keywords/Phrases

Search In:

Publication Years