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Information Journal Paper

Title

VISUAL-BASED INTERFACE USING HAND GESTURE RECOGNITION AND OBJECT TRACKING

Pages

  279-293

Abstract

 This paper presents a novel approach for human-machine interface using visual-based communication. SCENE ANALYSIS, object recognition and tracking, together with gesture detection and classification, are employed to design and implement a system for real time interaction. A new paradigm is proposed for efficient selection of hand gestures that can be used in other gesture-based environments aiming at INTERACTIVE MULTIMEDIA. An inexpensive web camera and readily available tools (such as an ordi­nary pen) have been used in this approach to render the system cost effective and suit­able for general and home-based multimedia applications. Focus is placed on real time applications with a fast decision function for gesture classification, and a model-based approach for orientation detection. Experimental results demonstrate the efficacy of the proposed approach when tested using different performance criteria.

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  • Cite

    APA: Copy

    CHALEH CHALEH, A.A., & SAFAEI, F.. (2008). VISUAL-BASED INTERFACE USING HAND GESTURE RECOGNITION AND OBJECT TRACKING. IRANIAN JOURNAL OF SCIENCE AND TECHNOLOGY TRANSACTION B- ENGINEERING, 32(B3), 279-293. SID. https://sid.ir/paper/62420/en

    Vancouver: Copy

    CHALEH CHALEH A.A., SAFAEI F.. VISUAL-BASED INTERFACE USING HAND GESTURE RECOGNITION AND OBJECT TRACKING. IRANIAN JOURNAL OF SCIENCE AND TECHNOLOGY TRANSACTION B- ENGINEERING[Internet]. 2008;32(B3):279-293. Available from: https://sid.ir/paper/62420/en

    IEEE: Copy

    A.A. CHALEH CHALEH, and F. SAFAEI, “VISUAL-BASED INTERFACE USING HAND GESTURE RECOGNITION AND OBJECT TRACKING,” IRANIAN JOURNAL OF SCIENCE AND TECHNOLOGY TRANSACTION B- ENGINEERING, vol. 32, no. B3, pp. 279–293, 2008, [Online]. Available: https://sid.ir/paper/62420/en

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