Title: Comparing key frame selection for one-two hand gesture recognition using different methods
Authors: Ketki P. Kshirsagar; Dharmpal D. Doye
Addresses: Department of Electronics, SGGS Institute of Engineering and Technology, Nanded, Maharashtra, India; Department of Electronics Engineering, Faculty of PDEA's College of Engineering, Manjari, Pune, Maharashtra, India ' Department of Electronics, SGGS Institute of Engineering and Technology, Nanded, Maharashtra, India
Abstract: Hand gesture recognition system has gained potential importance in application areas of human-computer interaction, machine vision, etc. Vision-based hand gesture recognition involves visual analysis of hand shape, position and/or motion. Finite State Machine (FSM) and Dynamic Time Warping (DTW) are most prominent methods used for gesture recognition. In this paper, we use object-based key frame selection from video sequence for segmenting Video Object Plane (VOP). Each VOP is a meaningful hand position, where Hausdorff and Euclidean distance are used for shape similarity. The key VOPs are selected on the basis of hand shape changes significantly and subsequently. The core approach of proposed work is that the frames of gesture video sequence are used with FSM and non-linear time alignment methods with key frame selection facility and trajectory features. Experimental results show accuracy and effectiveness of proposed system, for one-handed American and two-handed British sign language gesture recognition.
Keywords: FSM; finite state machines; DTW; dynamic time warping; trajectory features; one handed signs; two-handed signs; key frame selection; gesture recognition; biometrics; video sequences; segmentation; video object plane; nonlinear time alignment; sign language gestures.
International Journal of Signal and Imaging Systems Engineering, 2015 Vol.8 No.5, pp.273 - 285
Received: 26 May 2012
Accepted: 30 May 2013
Published online: 25 Sep 2015 *