Human action recognition using integrated model

Yang Yi; Yikun Lin

doi:10.1117/12.2030544

19 July 2013 Human action recognition using integrated model

Yang Yi, Yikun Lin

Author Affiliations +

Proceedings Volume 8878, Fifth International Conference on Digital Image Processing (ICDIP 2013); 88782H (2013) https://doi.org/10.1117/12.2030544
Event: Fifth International Conference on Digital Image Processing, 2013, Beijing, China

Abstract

A novel action recognition framework based on integrated model is proposed in the paper. First, the covariance descriptor is utilized to extract features from video sequences, and then each class specific codebook is constructed and appended to the global codebook. A static model applying the template matching technique and a dynamic model employing the trigram model are learned to capture complementary information in an action. And lastly, an integrated model is used to estimate the confidence of the static and dynamic models and produces a reliable result. Comparative experiments show that our presented method achieves superior results over other state-of-the-art approaches. Keywords: human action recognition, covariance descriptor, integrated model

Citation Download Citation

Yang Yi and Yikun Lin "Human action recognition using integrated model", Proc. SPIE 8878, Fifth International Conference on Digital Image Processing (ICDIP 2013), 88782H (19 July 2013); https://doi.org/10.1117/12.2030544

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