A dynamic gesture trajectory recognition based on key frame extraction and HMM

作者：Qiu Yu Zhang; Lu Lv; Mo Yi Zhang; Hong Xiang Duan; Jun Chi Lu

来源：International Journal of Signal Processing, Image Processing and Pattern Recognition, 2015, 8(6): 91-106.

DOI：10.14257/ijsip.2015.8.6.11

• Gesture recognition algorithm
• Gesture trajectories
• Hand gesture
• HMM
• Inter-frame differences
• Key frames
• Key-frame extraction
• Recognition methods

Aiming at changing high computational complexity, underdeveloped real time, low recognition rate of dynamic gesture recognition algorithms, this paper present a real-time dynamic gesture trajectory recognition method based on key frame extraction and HMM. Key frames are selected without keeping track of all the details of one dynamic gesture, which is based on difference degree between frames. The trajectory data stream, sorted by the time-warping algorithm, is used to construct the Hidden Markov Method model of dynamic gesture. Finally, optimal transition probabilities are employed to implement dynamic gesture recognition. The result of this experiment implies that this method has high robustness and real time. The average recognition rate of dynamic gesture (0~9) is up to 87.67%, and average time efficiency is 0.46s.

• 出版日期2015