articleJun 1, 2007Closed access

A Benchmark for the Comparison of 3-D Motion Segmentation Algorithms

Johns Hopkins University

Indexed incrossref

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.

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Authors

2

Topics & keywords

Keywords
  • Benchmark (surveying)
  • Segmentation
  • Affine transformation
  • Artificial intelligence
  • Computer science
  • Computer vision
  • Motion (physics)
  • Set (abstract data type)
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