Labeled multi-Bernoulli tracking for industrial mobile platform safety

Tharindu Rathnayake; Reza Hoseinnezhad; Ruwan Tennakoon; Alireza Bab-Hadiashar

doi:10.1109/ICMECH.2017.7921138

Labeled multi-Bernoulli tracking for industrial mobile platform safety

Tharindu Rathnayake, Reza Hoseinnezhad, Ruwan Tennakoon, Alireza Bab-Hadiashar

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

7 Citations (Scopus)

Abstract

This paper presents a track-before-detect labeled multi-Bernoulli filter tailored for industrial mobile platform safety applications. We derive two application specific separable likelihood functions that capture the geometric shape and colour information of the human targets who are wearing a high visibility vest. These likelihoods are then used in a labeled multi-Bernoulli filter with a novel two step Bayesian update. Preliminary simulation results evaluated using several video sequences show that the proposed solution can successfully track human workers wearing a luminous yellow colour vest in an industrial environment.

Original language	English
Title of host publication	Proceedings - 2017 IEEE International Conference on Mechatronics, ICM 2017
Editors	Ren Luo, Hideki Hashimoto, John Hung
Place of Publication	Piscataway NJ USA
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	393-398
Number of pages	6
ISBN (Electronic)	9781509045389, 9781509045372
ISBN (Print)	9781509045396
DOIs	https://doi.org/10.1109/ICMECH.2017.7921138
Publication status	Published - 2017
Externally published	Yes
Event	International Conference on Mechatronics 2017 - Gippsland, Australia Duration: 13 Feb 2017 → 15 Feb 2017 http://ieee-icm2017.org/ (Website) https://ieeexplore.ieee.org/xpl/conhome/7912153/proceeding (Proceedings)

Conference

Conference	International Conference on Mechatronics 2017
Abbreviated title	ICM 2017
Country/Territory	Australia
City	Gippsland
Period	13/02/17 → 15/02/17
Internet address	http://ieee-icm2017.org/ (Website) https://ieeexplore.ieee.org/xpl/conhome/7912153/proceeding (Proceedings)

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10.1109/ICMECH.2017.7921138

Cite this

Rathnayake, T., Hoseinnezhad, R., Tennakoon, R., & Bab-Hadiashar, A. (2017). Labeled multi-Bernoulli tracking for industrial mobile platform safety. In R. Luo, H. Hashimoto, & J. Hung (Eds.), Proceedings - 2017 IEEE International Conference on Mechatronics, ICM 2017 (pp. 393-398). IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/ICMECH.2017.7921138

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title = "Labeled multi-Bernoulli tracking for industrial mobile platform safety",

abstract = "This paper presents a track-before-detect labeled multi-Bernoulli filter tailored for industrial mobile platform safety applications. We derive two application specific separable likelihood functions that capture the geometric shape and colour information of the human targets who are wearing a high visibility vest. These likelihoods are then used in a labeled multi-Bernoulli filter with a novel two step Bayesian update. Preliminary simulation results evaluated using several video sequences show that the proposed solution can successfully track human workers wearing a luminous yellow colour vest in an industrial environment.",

author = "Tharindu Rathnayake and Reza Hoseinnezhad and Ruwan Tennakoon and Alireza Bab-Hadiashar",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; International Conference on Mechatronics 2017, ICM 2017 ; Conference date: 13-02-2017 Through 15-02-2017",

year = "2017",

doi = "10.1109/ICMECH.2017.7921138",

language = "English",

isbn = "9781509045396",

pages = "393--398",

editor = "Ren Luo and Hideki Hashimoto and John Hung",

booktitle = "Proceedings - 2017 IEEE International Conference on Mechatronics, ICM 2017",

publisher = "IEEE, Institute of Electrical and Electronics Engineers",

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Rathnayake, T, Hoseinnezhad, R, Tennakoon, R & Bab-Hadiashar, A 2017, Labeled multi-Bernoulli tracking for industrial mobile platform safety. in R Luo, H Hashimoto & J Hung (eds), Proceedings - 2017 IEEE International Conference on Mechatronics, ICM 2017. IEEE, Institute of Electrical and Electronics Engineers, Piscataway NJ USA, pp. 393-398, International Conference on Mechatronics 2017, Gippsland, Victoria, Australia, 13/02/17. https://doi.org/10.1109/ICMECH.2017.7921138

Labeled multi-Bernoulli tracking for industrial mobile platform safety. / Rathnayake, Tharindu; Hoseinnezhad, Reza; Tennakoon, Ruwan et al.
Proceedings - 2017 IEEE International Conference on Mechatronics, ICM 2017. ed. / Ren Luo; Hideki Hashimoto; John Hung. Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, 2017. p. 393-398.

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

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AU - Bab-Hadiashar, Alireza

PY - 2017

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AB - This paper presents a track-before-detect labeled multi-Bernoulli filter tailored for industrial mobile platform safety applications. We derive two application specific separable likelihood functions that capture the geometric shape and colour information of the human targets who are wearing a high visibility vest. These likelihoods are then used in a labeled multi-Bernoulli filter with a novel two step Bayesian update. Preliminary simulation results evaluated using several video sequences show that the proposed solution can successfully track human workers wearing a luminous yellow colour vest in an industrial environment.

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A2 - Luo, Ren

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T2 - International Conference on Mechatronics 2017

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Rathnayake T, Hoseinnezhad R, Tennakoon R, Bab-Hadiashar A. Labeled multi-Bernoulli tracking for industrial mobile platform safety. In Luo R, Hashimoto H, Hung J, editors, Proceedings - 2017 IEEE International Conference on Mechatronics, ICM 2017. Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers. 2017. p. 393-398 doi: 10.1109/ICMECH.2017.7921138

Labeled multi-Bernoulli tracking for industrial mobile platform safety

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