The Smart Classroom: Merging Technologies for Seamless Tele-education
IEEE Pervasive Computing
RVM-based human action classification in crowd through projection and star skeletonization
Journal on Image and Video Processing - Special issue on video-based modeling, analysis, and recognition of human motion
Subject-independent natural action recognition
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
Automatic monitoring of forbidden areas to prevent illegal accesses
ICAPR'05 Proceedings of the Third international conference on Pattern Recognition and Image Analysis - Volume Part II
Hi-index | 0.00 |
This paper presents a new system for teachers' natural complex action recognition in smart classroom in order to realize intelligent cameraman and virtual mouse. First, the system proposes a hybrid human model and employs 2-order B-spline function to detect the two shoulder joints in the silhouette image to obtain the basic motion features including the elbow angles, motion parameters of the face and two hands. Then, Primitive-based Coupled Hidden Markov Model (PCHMM) is presented for natural context-dependent action recognition. Last, some comparison experiments show PCHMM is better than the traditional HMM and coupled HMM.