Video retrieval based on video motion tracks of moving objects

Pei-Yi Chen; Arbee L.P. Chen

doi:10.1117/12.527676

18 December 2003 Video retrieval based on video motion tracks of moving objects

Pei-Yi Chen, Arbee L.P. Chen

Proceedings Volume 5307, Storage and Retrieval Methods and Applications for Multimedia 2004; (2003) https://doi.org/10.1117/12.527676
Event: Electronic Imaging 2004, 2004, San Jose, California, United States

Abstract

Motion track is an important feature to show the spatio-temporal relationship of a video object in a video. In this paper, we propose a novel motion track representation based on MPEG-7 motion descriptor. A new descriptor is proposed to represent the motion track in the X-Y plane and the trend of velocity changes. Moreover, a new similarity measure for comparing two motion tracks based on the motion trajectory and velocity differences is proposed. The trajectory is compared by the properties of the polynomials, and the velocity is compared by the different trends. Furthermore, the motion track segmentation method is proposed to handle a complicated motion behavior and the relevance feedback is used to improve the query results. Experiment results show that this approach has a higher precision than existing approaches.

Citation Download Citation

Pei-Yi Chen and Arbee L.P. Chen "Video retrieval based on video motion tracks of moving objects", Proc. SPIE 5307, Storage and Retrieval Methods and Applications for Multimedia 2004, (18 December 2003); https://doi.org/10.1117/12.527676

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