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Proceedings Paper

Visual tracking system for water surface moving targets
Author(s): Lin Zheng; Michael Beetz; Suat Gedikli
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Paper 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.

Paper Details

Date Published: 15 November 2007
PDF: 10 pages
Proc. SPIE 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition, 67863K (15 November 2007);
Show Author Affiliations
Lin Zheng, Wuhan Univ. of Technology (China)
Munich Univ. of Technology (Germany)
Michael Beetz, Munich Univ. of Technology (Germany)
Suat Gedikli, Munich Univ. of Technology (Germany)

Published in SPIE Proceedings Vol. 6786:
MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition
Tianxu Zhang; Tianxu Zhang; Carl Anthony Nardell; Carl Anthony Nardell; Hanqing Lu; Duane D. Smith; Hangqing Lu, Editor(s)

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