DocumentCode :
2318276
Title :
GestureCam: A Smart Camera for Gesture Recognition and Gesture-Controlled Web Navigation
Author :
Shi, Yu ; Taib, Ronnie ; Lichman, Serge
Author_Institution :
National ICT Australia, Sydney, NSW
fYear :
2006
fDate :
5-8 Dec. 2006
Firstpage :
1
Lastpage :
6
Abstract :
Smart camera, or an intelligent camera, is an embedded vision system which captures and processes image to extract application-specific information in real time. Smart cameras are used in many applications such as automatic control systems, machine vision systems, automatic video surveillance systems and human computer interfaces. What makes a smart camera ´smart´ is a special processing unit inside the camera which performs application specific information processing, for example, skin color detection and motion detection for surveillance purpose. The design of smart camera as an embedded system is challenging because on one hand video processing has insatiable demand for performance and power, and on the other hand embedded systems place considerable constraints on the design. We present our work in progress to build GestureCam, an FPGA-based smart camera that can recognize simple pre-defined head and hand gestures. As an application of the GestureCam, we present the design of a GestureBrowser, an extension to the Mozilla Firefox browser which uses the GestureCam to capture and recognize a user´s head and hand gesture commands to control Web navigation. The GestureBrowser idea is a step further toward next generation natural human computer interaction. Also presented is a proof of concept work for the GestureBrowser idea, using a Webcam as image capture device
Keywords :
Internet; computer vision; gesture recognition; human computer interaction; intelligent control; online front-ends; video cameras; video signal processing; GestureBrowser; GestureCam; Mozilla Firefox browser; application specific information processing; automatic control systems; automatic video surveillance systems; computer vision; embedded vision system; gesture recognition; gesture-controlled Web navigation; human computer interaction; human computer interfaces; intelligent camera; intelligent systems; machine vision systems; motion detection; pattern recognition; skin color detection; smart camera; Application software; Data mining; Embedded system; Machine intelligence; Machine vision; Magnetic heads; Motion detection; Navigation; Real time systems; Smart cameras; Computer Vision; Embedded Systems; Human-Computer Interaction; Intelligent Systems; Pattern Recognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control, Automation, Robotics and Vision, 2006. ICARCV '06. 9th International Conference on
Conference_Location :
Singapore
Print_ISBN :
1-4244-0341-3
Electronic_ISBN :
1-4214-042-1
Type :
conf
DOI :
10.1109/ICARCV.2006.345267
Filename :
4150145
Link To Document :
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