Title :
An Automatic Hand Gesture Recognition System Based on Viola-Jones Method and SVMs
Author :
Yun, Liu ; Peng, Zhang
Author_Institution :
Coll. of Inf. Sci. & Technol., Qingdao Univ. of Sci. & Technol., Qingdao, China
Abstract :
In this paper we present an automatic hand gesture recognition system operating on video stream. The system consists of two modules: hand gesture detection module and hand gesture recognition module. The detection module could accurately locate the hand regions with a blue rectangle; this is mainly based on Viola-Jones method, which is currently considered the fastest and most accurate learning-based method for object detection. In the recognition module, the Hu invariant moments feature vectors of the detected hand gesture are extracted and a support vector machines (SVMs) classifier is trained for final recognition, due to its high generalization performance without the need to add a priori knowledge. The performance of the proposed system is tested through a series of experiments and a simple human-computer interaction application based on hand gesture recognition method is finally developed.
Keywords :
gesture recognition; learning (artificial intelligence); object detection; support vector machines; vectors; Hu invariant moment feature vector; SVM; Viola-Jones method; hand gesture detection module; hand gesture recognition module; human-computer interaction; learning-based method; object detection; support vector machines; Computer science; Educational institutions; Feature extraction; Information science; Learning systems; Object detection; Streaming media; Support vector machine classification; Support vector machines; System testing; Hu invariont moments; Human-Computer Interaction; SVMs; Viola-Jones method; hand gesture detection; hand gesture recognition;
Conference_Titel :
Computer Science and Engineering, 2009. WCSE '09. Second International Workshop on
Conference_Location :
Qingdao
Print_ISBN :
978-0-7695-3881-5
DOI :
10.1109/WCSE.2009.769