Ms. Chunling Shi Profile

Chunling Shi

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 | 29 January 2024 Paper

Recognizing human-object interaction in videos with knowledge guidance

Jin Zhang, Xuemei Xie, Qiyue Li, Chunling Shi

Proceedings Volume 12984, 1298405 (2024) https://doi.org/10.1117/12.3020928

Read Abstract +

Human-Object Interaction(HOI) recognition in videos aims to classify the interaction states of human and objects within each video segment of the activity. Each video segment is an atomic activity and these atomic activities can constitute a high-level activity according to a certain temporal relationship. The existence of the temporal relationship between segments indicates that there is a local constraint between a video segment and its following segment. The existing HOI recognition models do not consider the previous segment output when predicting the interaction state of the segment. So it is difficult to learn the accurate relationship between segments. Therefore, we propose a method that uses explicit knowledge to guide the networks to capture strict relations between segments. First, the transition relationships of interaction states between segments in the dataset are summarized and filtered as prior knowledge. Then we use graphs to express the extracted knowledge. We inject prior knowledge into transition matrices of conditional random fields to model this local constraint relationship between interaction states. In terms of micro and macro evaluation criteria, the knowledge guidance method proposed by us has achieved better results than the state-of-the-art on CAD-120 dataset.

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