Title :
A Benchmark for the Comparison of 3-D Motion Segmentation Algorithms
Author :
Tron, Roberto ; Vidal, René
Author_Institution :
Johns Hopkins Univ., Baltimore
Abstract :
Over the past few years, several methods for segmenting a scene containing multiple rigidly moving objects have been proposed. However, most existing methods have been tested on a handful of sequences only, and each method has been often tested on a different set of sequences. Therefore, the comparison of different methods has been fairly limited. In this paper, we compare four 3D motion segmentation algorithms for affine cameras on a benchmark of 155 motion sequences of checkerboard, traffic, and articulated scenes.
Keywords :
computer vision; image segmentation; image sequences; motion estimation; 3D motion segmentation algorithm; image sequence; Application software; Benchmark testing; Cameras; Computer vision; Databases; Image segmentation; Layout; Motion segmentation; Statistical analysis; Traffic control;
Conference_Titel :
Computer Vision and Pattern Recognition, 2007. CVPR '07. IEEE Conference on
Conference_Location :
Minneapolis, MN
Print_ISBN :
1-4244-1179-3
Electronic_ISBN :
1063-6919
DOI :
10.1109/CVPR.2007.382974