Human motion recognition using Nonlinear Transient Computation

A novel approach to human motion recognition is proposed that is based on a variation of the Nonlinear Transient Computation Machine (NTCM). The motion data used to train the NTCM comes from point-light display video sequences of a human walking. The NTCM is trained to distinguish between sequences of video frames that depict coordinated walking motion from those that depict uncoordinated (random) motion.

• Type: Conference
• Year: 2007
• Where: ESANN
• Authors: Nigel Crook, Wee Jin Goh
• Keywords: Display Video Sequences, ESANN 2007, Human Motion Recognition, Neural Networks, Nonlinear Transient Computation