Visual tracking system for water surface moving targets

Lin Zheng; Michael Beetz; Suat Gedikli

doi:10.1117/12.749974

15 November 2007 Visual tracking system for water surface moving targets

Lin Zheng, Michael Beetz, Suat Gedikli

Proceedings Volume 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition; 67863K (2007) https://doi.org/10.1117/12.749974
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China

Abstract

Water surface moving targets tracking is a challenging problem in the field of computer vision. Because moving targets are in a cluttered environment and are occluded randomly by splashed water, it is difficult to accurately extract and track them. In this paper, by analyzing water surface's color and motion statistical characteristics, a two-step segmentation algorithm is proposed to extract these targets. Then a multi-view tracking systme is established to estimate the 3D trajectory of moving targets' center. We employ this system to canoe competition, and to compare our result with the standard 3D trajectories, which can be calculated by using the markers on the canoes. THe experiments show that the root median square error between our trajectories and the standard ones is very low.

Citation Download Citation

Lin Zheng, Michael Beetz, and Suat Gedikli "Visual tracking system for water surface moving targets", Proc. SPIE 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition, 67863K (15 November 2007); https://doi.org/10.1117/12.749974

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