Towards discrete wavelet transform-based human activity recognition

Manish Khare; Moongu Jeon

doi:10.1117/12.2280346

19 June 2017 Towards discrete wavelet transform-based human activity recognition

Manish Khare, Moongu Jeon

Proceedings Volume 10443, Second International Workshop on Pattern Recognition; 1044308 (2017) https://doi.org/10.1117/12.2280346
Event: Second International Workshop on Pattern Recognition, 2017, Singapore, Singapore

Abstract

Providing accurate recognition of human activities is a challenging problem for visual surveillance applications. In this paper, we present a simple and efficient algorithm for human activity recognition based on a wavelet transform. We adopt discrete wavelet transform (DWT) coefficients as a feature of human objects to obtain advantages of its multiresolution approach. The proposed method is tested on multiple levels of DWT. Experiments are carried out on different standard action datasets including KTH and i3D Post. The proposed method is compared with other state-of-the-art methods in terms of different quantitative performance measures. The proposed method is found to have better recognition accuracy in comparison to the state-of-the-art methods.

Citation Download Citation

Manish Khare and Moongu Jeon "Towards discrete wavelet transform-based human activity recognition", Proc. SPIE 10443, Second International Workshop on Pattern Recognition, 1044308 (19 June 2017); https://doi.org/10.1117/12.2280346

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