Automatic and robust classification of independent motions in video sequences

Xiaobo An; Xueying Qin; Hujun Bao

doi:10.1117/12.640319

18 January 2006 Automatic and robust classification of independent motions in video sequences

Xiaobo An, Xueying Qin, Hujun Bao

Proceedings Volume 6066, Vision Geometry XIV; 60660B (2006) https://doi.org/10.1117/12.640319
Event: Electronic Imaging 2006, 2006, San Jose, California, United States

Abstract

Segmentation of independent motions from video sequences is a challenging problem that can be a prelude to many further applications in computer vision. In this paper, we present an accurate and efficient approachfor automatic segmentation of all the independently moving objects in the scene. The system begins with an initialization module which provides initial partition of the scene, computes 2D motions, and includes some necessary preparing work. Then, we propose a novel object classification method by analyzing and clustering motions. To achieve the best robustness, and minimize the total computation load, we choose to work on multi key frames simultaneously to obtain global optimal classification. Our approach achieves accurate object classification and avoids the uncertainty in detection of moving objects. We demonstrate high stability, accuracy and performance of our algorithm with a set of experiments on real video sequences.

Citation Download Citation

Xiaobo An, Xueying Qin, and Hujun Bao "Automatic and robust classification of independent motions in video sequences", Proc. SPIE 6066, Vision Geometry XIV, 60660B (18 January 2006); https://doi.org/10.1117/12.640319

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