Adaptive real-time labeling and recognition of multiple infrared markers using FPGA

Ping Zhou*, Yue Liu, Yongtian Wang

*Corresponding author for this work

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

2 Citations (Scopus)

Abstract

In this paper, we propose a real-time and adaptive method for labeling and recognition of multiple infrared markers. A single-frame based iteration process is developed to obtain the suitable threshold. A sliding window is proposed to propagate the preliminary labels and to reduce the capacity of equivalent tables handling. The labeling and recognition are realized by merging the results of domains with label collisions. Multi-stage pipelines are developed to implement all the operations including smoothing filter, adaptive threshold, preliminary labeling and recognition. Experimental results show that the proposed method can label and recognize multiple infrared target markers with a latency of 259ns and with an accuracy of sub-pixel. The proposed method can be applied in applications that require real-time performance such as surgery navigation, intelligent control and visual measurement.

Original languageEnglish
Title of host publicationProceedings of the 5th International Conference on Image and Graphics, ICIG 2009
PublisherIEEE Computer Society
Pages983-988
Number of pages6
ISBN (Print)9780769538839
DOIs
Publication statusPublished - 2009
Event5th International Conference on Image and Graphics, ICIG 2009 - Xi'an, Shanxi, China
Duration: 20 Sept 200923 Sept 2009

Publication series

NameProceedings of the 5th International Conference on Image and Graphics, ICIG 2009

Conference

Conference5th International Conference on Image and Graphics, ICIG 2009
Country/TerritoryChina
CityXi'an, Shanxi
Period20/09/0923/09/09

Keywords

  • Adaptive thresholding
  • FPGA
  • Markers recognition
  • Real-time labeling

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