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A multi-paradigm object tracker for robot navigation assisted by external computer vision

Authors:

Marcel-Titus Marginean,

Chao LuAuthors Info & Claims

RACS '14: Proceedings of the 2014 Conference on Research in Adaptive and Convergent Systems

Pages 88 - 94

https://doi.org/10.1145/2663761.2663762

Published: 05 October 2014 Publication History

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Abstract

Tracking multiple persons/robots/pets and moving objects is an essential task for situation awareness in robot navigation and operation. It is also a relatively complicated problem of computer vision and multiple solutions have been proposed in literature. In this paper we are exploring a novel method of object tracking using computer vision by fusing multiple techniques into a single tracker implementation. The main goal of this method is to perform high confidence data associations as soon as possible in order to be able to provide tracking information to a moving robot in real time with attempts to minimize the CPU utilization for tracking whenever possible since the Base Station computer is being shared with multiple software modules.

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Cited By

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Marginean MLu C(2015)sDOMO — A simple communication protocol for home automation and robotic systems2015 IEEE International Conference on Technologies for Practical Robot Applications (TePRA)10.1109/TePRA.2015.7219670(1-7)Online publication date: May-2015
https://doi.org/10.1109/TePRA.2015.7219670

Index Terms

A multi-paradigm object tracker for robot navigation assisted by external computer vision
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Computer vision problems
        Tracking
      2. Computer vision tasks
        Scene understanding

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Information

Published In

RACS '14: Proceedings of the 2014 Conference on Research in Adaptive and Convergent Systems

October 2014

386 pages

ISBN:9781450330602

DOI:10.1145/2663761

Conference Chairs:
Chao Lu
Towson University
,
Esmaeil Nadimi
University of Southern Denmark, denmark
,
Program Chairs:
Sung-Ryul Kim
Konkuk University, Korea
,
Wei Wang
San Diego State University

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 05 October 2014

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RACS '14

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SIGAPP
ACCT
TU

RACS '14: International Conference on Research in Adaptive and Convergent Systems

October 5 - 8, 2014

Maryland, Towson

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RACS '14 Paper Acceptance Rate 59 of 251 submissions, 24%;

Overall Acceptance Rate 393 of 1,581 submissions, 25%

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International Conference on Research in Adaptive and Convergent Systems

November 5 - 8, 2024

Pompei , Italy

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Marginean MLu C(2015)sDOMO — A simple communication protocol for home automation and robotic systems2015 IEEE International Conference on Technologies for Practical Robot Applications (TePRA)10.1109/TePRA.2015.7219670(1-7)Online publication date: May-2015
https://doi.org/10.1109/TePRA.2015.7219670

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