Proc. SPIE. 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition
KEYWORDS: Statistical analysis, 3D acquisition, 3D imaging standards, Detection and tracking algorithms, Cameras, Image segmentation, 3D modeling, Optical tracking, Filtering (signal processing), RGB color model
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.