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Probability-based method for boosting human action recognition using scene context.

, , , , , , and . IET Comput. Vis., 10 (6): 528-536 (2016)

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Nonlinear Background Filter to Improve Pedestrian Detection., , , and . ICIAP Workshops, volume 9281 of Lecture Notes in Computer Science, page 535-543. Springer, (2015)Discriminative parts learning for 3D human action recognition., , , , , , , and . Neurocomputing, (2018)Probability-based method for boosting human action recognition using scene context., , , , , , and . IET Comput. Vis., 10 (6): 528-536 (2016)Seeing actions through scene context., , , , , and . VCIP, page 1-6. IEEE, (2013)Perspective-SIFT: An efficient tool for low-altitude remote sensing image registration., , , , , and . Signal Process., 93 (11): 3088-3110 (2013)Traffic Analytics With Low-Frame-Rate Videos., , , , and . IEEE Trans. Circuits Syst. Video Techn., 28 (4): 878-891 (2018)Pursuing Detector Efficiency for Simple Scene Pedestrian Detection., , , , and . MMM (2), volume 8326 of Lecture Notes in Computer Science, page 140-150. Springer, (2014)Improving pedestrian detection using motion-guided filtering., , , and . Pattern Recognit. Lett., (2017)Automatic registration of remote sensing images based on SIFT and fuzzy block matching for change detection., , , , and . Int. J. Comput. Intell. Syst., 4 (5): 874-885 (2011)Multi-matched Similarity: A New Method for Image Retrieval., , , , and . HCC, volume 9567 of Lecture Notes in Computer Science, page 646-654. Springer, (2016)