@inproceedings{fcf383736f2e4cdca9f260b9f8dd1754,
title = "Hand gesture recognition for TV remote control using tree-based ensemble and LCS classifiers",
abstract = "The aim of this research to develop a real-time, robust, vision based hand-gesture control system capable of operating in different living room environments including low light conditions, and using inexpensive hardware components. The system is designed for remote control of a TV set-top box using a preset gesture vocabulary. A camera is located above a TV screen, across from the user. Gestures may be performed from anywhere within the sensors field of view, without the requirement that the operator obtain visual or auditory feedback. The system is capable of using either a near-IR or a visible color webcam. Hand tracking is based on a modified CAMShift algorithm with face detection and blocking. Gesture classification is based on a limited number of gesture motion trajectory features using a tree-based classifier ensemble, and a modified Longest Common Subsequence (LCS) method. Preliminary testing and evaluation of the systems real time operation is reported.",
keywords = "Gesture recognition, Hand tracking, LCS, TV control, Tree-based ensemble classifier",
author = "Helman Stern and Darya Frolova and Sigal Berman",
year = "2010",
month = dec,
day = "1",
language = "English",
isbn = "9781601321541",
series = "Proceedings of the 2010 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2010",
pages = "687--693",
booktitle = "Proceedings of the 2010 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2010",
note = "2010 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2010 ; Conference date: 12-07-2010 Through 15-07-2010",
}