Towards Embedded Computer Vision (original) (raw)

Abstract

Embedded computer vision is a greatly interesting research topic rising in recent years. It is the research of combing embedded systems and computer vision for distributed computation. Smart camera, vision sensor network, and robotic vision are few of application examples of embedded computer vision. Some leading research groups in the world, such as Stanford Univ., CMU, and Princeton, have been devoted to study the hardware and software architectures for embedded computer vision. This talk will give an introduction to the concept of embedded computer vision. Recent works of the Intelligent System Lab., EE, FJU, in the ECV research topic will be presented. The presented results include a gesture recognition system called X-EYE, a small vision sensor node called FJUCam, face detection and recognition for robotic vision, and FPGA implementation of visual surveillance algorithms.

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