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LaBGen: A method based on motion detection for generating the background of a scene., , и . Pattern Recognit. Lett., (2017)Frontal-view gait recognition by intra- and inter-frame rectangle size distribution., и . Pattern Recognit. Lett., 30 (10): 893-901 (2009)Enhancing Cover Song Identification with Hierarchical Rank Aggregation., , и . ISMIR, стр. 136-142. (2016)HitNet: a neural network with capsules embedded in a Hit-or-Miss layer, extended with hybrid data augmentation and ghost capsules., , и . CoRR, (2018)A New Three Object Triangulation Algorithm Based on the Power Center of Three Circles., , и . Eurobot Conference, том 161 из Communications in Computer and Information Science, стр. 248-262. Springer, (2011)A physically motivated pixel-based model for background subtraction in 3D images., , и . IC3D, стр. 1-8. IEEE, (2014)Adaptive Self-Training for Object Detection., , и . CoRR, (2022)Background subtraction: Experiments and improvements for ViBe., и . CVPR Workshops, стр. 32-37. IEEE Computer Society, (2012)Is a Memoryless Motion Detection Truly Relevant for Background Generation with LaBGen?, и . ACIVS, том 10617 из Lecture Notes in Computer Science, стр. 443-454. Springer, (2017)Mixture Domain Adaptation to Improve Semantic Segmentation in Real-World Surveillance., , , , , , , и . WACV (Workshops), стр. 1-10. IEEE, (2023)