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Stacked sparse autoencoder and history of binary motion image for human activity recognition.

, , , and . Multim. Tools Appl., 78 (2): 2157-2179 (2019)

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Abnormal events' detection in crowded scenes., , and . Multim. Tools Appl., 77 (19): 24843-24864 (2018)Human fall detection based on block matching and silhouette area., , and . ICMV, volume 10341 of SPIE Proceedings, page 1034105. SPIE, (2016)Stacked sparse autoencoder and history of binary motion image for human activity recognition., , , and . Multim. Tools Appl., 78 (2): 2157-2179 (2019)Deep learning architecture for recognition of abnormal activities., , , and . ICMV, volume 10696 of SPIE Proceedings, page 106960F. SPIE, (2017)Video Anomaly Detection and Localization in Crowded Scenes., , and . CISIS-ICEUTE, volume 951 of Advances in Intelligent Systems and Computing, page 87-96. Springer, (2019)A two-stream abnormal detection using a cascade of extreme learning machines and stacked auto encoder., , and . Multim. Tools Appl., 82 (25): 38743-38770 (October 2023)A temporal Human Activity Recognition Based on Stacked Auto Encoder and Extreme Learning Machine., , and . CoDIT, page 1571-1576. IEEE, (2023)Deep Hashing and Sparse Representation of Abnormal Events Detection., , and . Comput. J., 67 (1): 3-17 (January 2024)Violent scenes detection based on connected component analysis., , and . ICMV, volume 11605 of SPIE Proceedings, page 1160527. SPIE, (2020)Abnormal Event Detection Method Based on Spatiotemporal CNN Hashing Model., , and . ISDA (4), volume 717 of Lecture Notes in Networks and Systems, page 153-165. Springer, (2022)