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Action Recognition by Matching Clustered Trajectories of Motion Vectors.

, , , and . VISAPP (1), page 112-117. SciTePress, (2013)

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A novel framework for motion segmentation and tracking by clustering incomplete trajectories., , and . Computer Vision and Image Understanding, 116 (11): 1135-1148 (2012)Gaussian Mixture-based Mean Shift for Tracking under Abrupt Illumination Changes., , and . IIH-MSP, page 510-513. IEEE, (2012)Motion Segmentation by Model-Based Clustering of Incomplete Trajectories., , and . ECML/PKDD (2), volume 6912 of Lecture Notes in Computer Science, page 146-161. Springer, (2011)Visual Tracking by Weighted Likelihood Maximization., , and . ICTAI, page 246-252. IEEE Computer Society, (2012)Matching mixtures of curves for human action recognition., , , and . Computer Vision and Image Understanding, (2014)Visual tracking using spatially weighted likelihood of Gaussian mixtures., , and . Computer Vision and Image Understanding, (2015)Visual tracking using the Earth Mover's Distance between Gaussian mixtures and Kalman filtering., , and . Image Vision Comput., 29 (5): 295-305 (2011)Action Recognition by Matching Clustered Trajectories of Motion Vectors., , , and . VISAPP (1), page 112-117. SciTePress, (2013)Visual Tracking by Adaptive Kalman Filtering and Mean Shift., , and . SETN, volume 6040 of Lecture Notes in Computer Science, page 153-162. Springer, (2010)