Fuzzy Integral-Based CNN Classifier Fusion for 3D Skeleton Action Recognition

• Published in: IEEE transactions on circuits and systems for video technology Vol. 31; no. 6; pp. 2206 - 2216
• Main Authors: Banerjee, Avinandan, Singh, Pawan Kumar, Sarkar, Ram
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.06.2021; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: 3D skeleton; Action recognition; Artificial neural networks; Choquet integral; Classifiers; convolutional neural network; Cost effectiveness; Data mining; Feature extraction; fuzzy fusion; Image classification; Image coding; Integrals; Joints (anatomy); Kinematics; Recognition; Skeleton; Source code; Three-dimensional displays; Two dimensional displays

Action recognition based on skeleton key joints has gained popularity due to its cost effectiveness and low complexity. Existing Convolutional Neural Network (CNN) based models mostly fail to capture various aspects of the skeleton sequence. To this end, four feature representations, which capture c...