Dynamic Hand Gesture Tracking Method Based on Key Frame and Video Perceptual Hashing

Abstract

Aiming at the common problems such as low tracking accuracy, robustness and poor real-time ability for the traditional tracking algorithm, a novel dynamic hand gesture tracking method based on key frame and video perceptual hashing has been proposed in this paper. Firstly, the proposed method is used to frame the video sequence and extract the key frames, in order to obtain a sequence of key frames. Secondly, the video perceptual hashing is used to extract the perceptual feature of the key frame and target template, thus the hash sequence is generated. Finally, the hamming distance is used to compare the similarities between the key frame and target template, therefore, the real-time tracking is carried out by using an online adaptive template update method to ensure the continuity of the hand gesture tracking. Experimental results show that the proposed method can realize the accurate and real-time tracking of the dynamic deformation gestures, and effectively reduce the time complexity of the algorithm, as well as ensure the stability and continuity of the moving target tracking.