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A Hybrid Method for Human Interaction Recognition Using Spatio-temporal Interest Points.

, , , and . ICPR, page 2513-2518. IEEE Computer Society, (2014)

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Realistic human action recognition by Fast HOG3D and self-organization feature map., , , and . Mach. Vis. Appl., 25 (7): 1793-1812 (2014)A Hybrid Method for Human Interaction Recognition Using Spatio-temporal Interest Points., , , and . ICPR, page 2513-2518. IEEE Computer Society, (2014)Learning semantic context feature-tree for action recognition via nearest neighbor fusion., , , , , and . Neurocomputing, (2016)Multi-Task Object Tracking with Feature Selection., , , , and . IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 98-A (6): 1351-1354 (2015)XR Quality Index: Evaluating RAN Transmission Quality for XR services over 5G and Beyond., , , , , , , and . PIMRC, page 1-6. IEEE, (2021)Recognizing human actions by BP-AdaBoost algorithm under a hierarchical recognition framework., , , and . ICASSP, page 3407-3411. IEEE, (2013)Recognizing human interactions by genetic algorithm-based random forest spatio-temporal correlation., , , and . Pattern Anal. Appl., 19 (1): 267-282 (2016)Robust Visual Tracking with SIFT Features and Fragments Based on Particle Swarm Optimization., , , and . CSSP, 33 (5): 1507-1526 (2014)Object tracking via collaborative multi-task learning and appearance model updating., , , , and . Appl. Soft Comput., (2015)Exploring the Impact of Table-to-Text Methods on Augmenting LLM-based Question Answering with Domain Hybrid Data., , , , , , , , , and 1 other author(s). CoRR, (2024)