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Sensors 2018, 18(2), 622; https://doi.org/10.3390/s18020622

A Novel Hard Decision Based Simultaneous Target Tracking and Classification Approach

School of Electronics and Control Engineering, Chang’an University, Xi’an 710064, China
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Received: 31 December 2017 / Revised: 14 February 2018 / Accepted: 15 February 2018 / Published: 19 February 2018
(This article belongs to the Section Physical Sensors)
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Abstract

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. View Full-Text
Keywords: simultaneous tracking and classification; joint target tracking and classification; hard decision; sequential probability ratio test simultaneous tracking and classification; joint target tracking and classification; hard decision; sequential probability ratio test
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
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Cao, W.; Hui, M.; Wu, Q. A Novel Hard Decision Based Simultaneous Target Tracking and Classification Approach. Sensors 2018, 18, 622.

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