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Real-time target tracking and positioning on FPGA

  • Chen Chen
  • , Yunhui Liu
  • , Congyi Lyu
  • , Weiguo Zhou
  • , Jianqing Peng
  • , Xin Jiang
  • , Peng Li
  • Harbin Institute of Technology Shenzhen
  • Chinese University of Hong Kong
  • Beijing Institute of Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Recently, FPGA becomes more important and popular in embedded systems due to its parallelizable inner structures. In this paper, a pipelined FPGA architecture will be present which will be used on a mobile robot. It implements algorithms about target recognition, tracking, positioning based on monocular vision, etc. The hardware platform for the design is the development board by Xilinx. The system uses monocular camera to measure the orientation of target in real time. It acquires the video stream from CMOS camera. The system realizes target tracking by extracting the color of the target as the feature, filtering, detecting feature of the target and then displaying on the screen. The system realizes target positioning according to the centroid of the tracked target, then computing the orientation which can be used for the intelligent robot vision.

Original languageEnglish
Title of host publication2016 IEEE International Conference on Real-Time Computing and Robotics, RCAR 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages448-453
Number of pages6
ISBN (Electronic)9781467389594
DOIs
StatePublished - 14 Dec 2016
Externally publishedYes
Event2016 IEEE International Conference on Real-Time Computing and Robotics, RCAR 2016 - Siem Reap, Cambodia
Duration: 6 Jun 20169 Jun 2016

Publication series

Name2016 IEEE International Conference on Real-Time Computing and Robotics, RCAR 2016

Conference

Conference2016 IEEE International Conference on Real-Time Computing and Robotics, RCAR 2016
Country/TerritoryCambodia
CitySiem Reap
Period6/06/169/06/16

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