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A Novel Hard Decision Based Simultaneous Target Tracking and Classification Approach
Methods dealing with the problem of Joint Tracking and Classification (JTC) are abundant, among which Simultaneous Tracking and Classification (STC) provides a modularized scheme solving tracking and classification subproblems simultaneously. However, there is no explicit hard decision on the class...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5855982/ https://www.ncbi.nlm.nih.gov/pubmed/29463046 http://dx.doi.org/10.3390/s18020622 |
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author | Cao, Wen Hui, Meng Wu, Qisheng |
author_facet | Cao, Wen Hui, Meng Wu, Qisheng |
author_sort | Cao, Wen |
collection | PubMed |
description | Methods dealing with the problem of Joint Tracking and Classification (JTC) are abundant, among which Simultaneous Tracking and Classification (STC) provides a modularized scheme solving tracking and classification subproblems simultaneously. However, there is no explicit hard decision on the class label but only soft decision (class probability) is provided. This does not fit many practical cases, in which a hard decision is urgently needed. To solve this problem, this paper proposes a Hard decision-based STC (HSTC) method. HSTC takes all the decision error rate, timeliness, and estimation error into account. Specifically, for decision, the sequential probability ratio test is adopted due to its nice properties and also the adaptability to our situation. For estimation, by utilizing the two-way information exchange between the tracker and the classifier, we propose flexible three tracking schemes related to decision. The HSTC tracking result is divided into three parts according to the time of making the hard decision. In general, the proposed HSTC method takes advantage of both SPRT and STC. Finally, two illustrative JTC examples with hard decision verify the effectiveness of the the proposed HSTC method. They show that HSTC can meet the demand of the problem, and also has the performance superiority in both decision and estimation. |
format | Online Article Text |
id | pubmed-5855982 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-58559822018-03-20 A Novel Hard Decision Based Simultaneous Target Tracking and Classification Approach Cao, Wen Hui, Meng Wu, Qisheng Sensors (Basel) Article Methods dealing with the problem of Joint Tracking and Classification (JTC) are abundant, among which Simultaneous Tracking and Classification (STC) provides a modularized scheme solving tracking and classification subproblems simultaneously. However, there is no explicit hard decision on the class label but only soft decision (class probability) is provided. This does not fit many practical cases, in which a hard decision is urgently needed. To solve this problem, this paper proposes a Hard decision-based STC (HSTC) method. HSTC takes all the decision error rate, timeliness, and estimation error into account. Specifically, for decision, the sequential probability ratio test is adopted due to its nice properties and also the adaptability to our situation. For estimation, by utilizing the two-way information exchange between the tracker and the classifier, we propose flexible three tracking schemes related to decision. The HSTC tracking result is divided into three parts according to the time of making the hard decision. In general, the proposed HSTC method takes advantage of both SPRT and STC. Finally, two illustrative JTC examples with hard decision verify the effectiveness of the the proposed HSTC method. They show that HSTC can meet the demand of the problem, and also has the performance superiority in both decision and estimation. MDPI 2018-02-19 /pmc/articles/PMC5855982/ /pubmed/29463046 http://dx.doi.org/10.3390/s18020622 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Cao, Wen Hui, Meng Wu, Qisheng A Novel Hard Decision Based Simultaneous Target Tracking and Classification Approach |
title | A Novel Hard Decision Based Simultaneous Target Tracking and Classification Approach |
title_full | A Novel Hard Decision Based Simultaneous Target Tracking and Classification Approach |
title_fullStr | A Novel Hard Decision Based Simultaneous Target Tracking and Classification Approach |
title_full_unstemmed | A Novel Hard Decision Based Simultaneous Target Tracking and Classification Approach |
title_short | A Novel Hard Decision Based Simultaneous Target Tracking and Classification Approach |
title_sort | novel hard decision based simultaneous target tracking and classification approach |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5855982/ https://www.ncbi.nlm.nih.gov/pubmed/29463046 http://dx.doi.org/10.3390/s18020622 |
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