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Embedded System Implementation for an Object Detection Using Stereo Image

  • Cheol-Hong Moon
  • Dong-Young Jang
Part of the Lecture Notes in Control and Information Sciences book series (LNCIS, volume 345)

Abstract

This paper reports the implementation of an Embedded system for object detection using a stereo image. The Embedded system can be divided into three areas: image capture, memory control block, system control block. The system control block was implemented using a 32bit RISC processor. The other block was assisted by FPGA using H/W in order to obtain image information. An algorithm using mean squared error (MSE) was used for object detection and was performed in the system control block. In order to identify an identical object in a stereo image block, a matching algorithm was used to create DEPTH MAP for the image-processing algorithm. After searching the distance to the object by inputting the DEPTH value from the user, the object in a specific position was detected by comparing the DEPTH to the DEPTH MAP. The information and image was transmitted to a PC and identified.

Keywords

Mean Square Error Object Detection Stereo Image Stereo Match Block Match 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Cheol-Hong Moon
    • 1
  • Dong-Young Jang
    • 1
  1. 1.Gwangju UniversityGwangjuKorea

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