Novel motion object extraction algorithm

Yi-Jun Xiao; Bang-Pin Wang; Xiao-Chun Lu; Xin-Rong Jiang

doi:10.1117/12.751046

15 November 2007 Novel motion object extraction algorithm

Yi-Jun Xiao, Bang-Pin Wang, Xiao-Chun Lu, Xin-Rong Jiang

Proceedings Volume 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition; 678646 (2007) https://doi.org/10.1117/12.751046
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China

Abstract

In intelligent transport system, it is very important to precisely segment motion object from complex scene. Background difference and frame difference are two classic motion object extraction algorithms. If there are shadows associated to moving objects, both of the methods cannot extract moving object precisely. With this problem, this paper proposes a motion object extraction algorithm based on active contour model (ACMMOE). The following steps are performed in ACMMOE: firstly, moving areas involving shadows are segmented with classical background difference algorithm. Secondly, perform shadow detection and coarsely removal, then using grid method to extract initial contours. Finally, use active contour model approach to the contour of the real object by iteratively tuning the parameter of the model. The proposed algorithm adopts greedy algorithm to speed up the solution to active contour model. Experiments show the algorithm can remove the shadow and keep the integrity of moving object.

Citation Download Citation

Yi-Jun Xiao, Bang-Pin Wang, Xiao-Chun Lu, and Xin-Rong Jiang "Novel motion object extraction algorithm", Proc. SPIE 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition, 678646 (15 November 2007); https://doi.org/10.1117/12.751046

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