Interactive mining and semantic retrieval of videos
Proceedings of the 8th international workshop on Multimedia data mining: (associated with the ACM SIGKDD 2007)
A novel trajectory clustering approach for motion segmentation
MMM'10 Proceedings of the 16th international conference on Advances in Multimedia Modeling
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Multibody motion segmentation is important in many computer vision tasks. This paper presents a novel spectral clustering approach to motion segmentation based on motion trajectory. We introduce a new affinity matrix based on the motion trajectory and map the feature points into a low dimensional subspace. The feature points are clustered in this subspace using a graph spectral approach. By computing the sensitivities of the larger eigenvalues of a related Markov transition matrix with respect to perturbations in affinity matrix, we improve the piecewise constant eigenvectors condition [M. Meila et al., 2001] dramatically. This makes clustering much reliable and robust. We confirm it by experiments.