Title :
Template-based human motion recognition for complex activities
Author :
Ahad, Md Atiqur Rahman ; Ogata, T. ; Tan, J.K. ; Kim, H.S. ; Ishikawa, S.
Author_Institution :
Dept. of Control Eng., Kyushu Inst. of Technol., Fukuoka
Abstract :
We have presented motion history-based human motion recognition technique with various formats of feature vectors. Since the inception of the motion history image (MHI) template for motion recognition, various progresses have been adopted to improve this basic MHI. Stages of development of appearance-based representation and recognition approach are presented here on the basic motion history-based approach to solve self-occlusion problem using our method. Excellent recognition rate for various motions has been found. This is based on gradient-based optical flow calculation. For recognition, Hu moments are considered to calculate feature vectors. Various feature vectors are considered in this paper.
Keywords :
feature extraction; image motion analysis; image recognition; image representation; image sequences; Hu moment; appearance-based representation; complex activity; feature extraction; gradient-based optical flow calculation; motion history template-based human motion recognition; self-occlusion problem; Control engineering; History; Humans; Image motion analysis; Image recognition; Image sequence analysis; Image sequences; Motion analysis; Optical sensors; Pixel; DMHI; Hu moment; MHI; feature vector; motion recognition;
Conference_Titel :
Systems, Man and Cybernetics, 2008. SMC 2008. IEEE International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-2383-5
Electronic_ISBN :
1062-922X
DOI :
10.1109/ICSMC.2008.4811355
