Human action recognition using Meta-Cognitive Neuro-Fuzzy Inference System

• Main Authors: Suresh, Sundaram, Subramanian, K.
• Other Authors: School of Computer Engineering
• Format: Conference or Workshop Item
• Language: English
• Published: 2013
• Subjects: DRNTU::Engineering::Computer science and engineering
• Online Access: https://hdl.handle.net/10356/97942; http://hdl.handle.net/10220/12382
• Institution: Nanyang Technological University

In this paper, we propose a Meta-Cognitive Neuro-Fuzzy Inference System (McFIS) for accurate detection of human actions from video sequences. In this paper, we employ optical flow based features as they can represent information from local pixel level to global object level between two consecutive i...