Title :
Gesture recognition based on subspace method and hidden Markov model
Author :
Iwai, Yoshio ; HATA, Tadashi ; Yachida, Masahiko
Author_Institution :
Dept. of Syst. & Human Sci., Osaka Univ., Japan
Abstract :
This paper proposes a method to recognize human gestures from an image sequence based on hidden Markov model and subspace method. As our method uses the motion vector field of the scene for recognition, it is robust for variety in the background of the scene and it doesn´t require the users to wear a sensor or a marker. The motion vector field of the scene is projected to an eigensubspace and is used as the input symbols for the HMM
Keywords :
hidden Markov models; image recognition; image sequences; motion estimation; user interfaces; HMM; eigensubspace; gesture recognition; hidden Markov model; human gestures; image sequence; input symbols; motion vector field; subspace method; Data compression; Hidden Markov models; Humans; Image motion analysis; Image recognition; Image sequences; Karhunen-Loeve transforms; Layout; Magnetic sensors; Optical sensors;
Conference_Titel :
Intelligent Robots and Systems, 1997. IROS '97., Proceedings of the 1997 IEEE/RSJ International Conference on
Conference_Location :
Grenoble
Print_ISBN :
0-7803-4119-8
DOI :
10.1109/IROS.1997.655125
