Overview of Dempster-Shafer and belief function tracking methods

Blasch, Erik; Dezert, Jean; Pannetier, B.

doi:10.1117/12.2016326

Cited by 23 publications

(8 citation statements)

References 69 publications

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“…In the DSmT reasoning's FoD, proportional conflict redistribution 5 (called PCR5 for short) is used generally to combine the BPAs [33]. PCR5 transfers the conflict mass only to the elements involved in the conflict and proportionally to their individual masses, which is similar to the way of assigning local conflicts directly to local propositions [19].…”

Section: Comparison Between Two Mainstream Improved Methods and Pcr5mentioning

confidence: 99%

“…. From these discussions, it is obvious that DS evidence theory is an extension of Bayesian theory, and DSmT reasoning is viewed as a general flexible approach for managing uncertainty and conflicts for a wide class of fusion problems where the information to combine is modeled as a finite set of belief functions provided by different independent sources [33,34]. And these three algorithms are used in similar applications.…”

Section: Relationship Among Bayesian Theory Ds Evidence Theory and mentioning

confidence: 99%

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The Improvement of DS Evidence Theory and Its Application in IR/MMW Target Recognition

Chen

et al. 2016

Journal of Sensors

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ATR system has a broad application prospect in the military field, especially in the field of modern defense technology. When paradoxes are in existence in ATR system due to adverse battlefield environment, integration cannot be effectively and reliably carried out only by traditional DS evidence theory. In this paper, a modified DS evidence theory is presented and applied in IR/MMW target recognition system. The improvement of DS evidence theory is realized by three parts: the introduction of sensor priority and evidence credibility to realize the discount processing of evidences, the modification of DS combination rule to enhance the accuracy of synthesis results, and the compound decision-making rule. The application of the modified algorithm in IR/MMW system is designed to deal with paradoxes, improve the target recognition rate, and ensure the reliability of target recognition system. Experiments are given to illustrate that the introduction of the modified DS evidence theory in IR/MMW system is better able to realize satisfactory target recognition performance through multisensor information fusion than any single-mode system.

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Section: Comparison Between Two Mainstream Improved Methods and Pcr5mentioning

confidence: 99%

Section: Relationship Among Bayesian Theory Ds Evidence Theory and mentioning

confidence: 99%

The Improvement of DS Evidence Theory and Its Application in IR/MMW Target Recognition

Chen

et al. 2016

Journal of Sensors

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“…Using both object tracking and target recognition methods can support instances with occlusions [73,74], but needs model updating [75]. A summary of methods for object assessment of tracking and identification is presented in [76]. • High-level Information Fusion (Level 2 -Level 6): High level information fusion (HLIF) tasks include mission planning, sensor placement, and algorithm selection [77].…”

Section: Vniirs For Information Fusionmentioning

confidence: 99%

Application of VNIIRS for target tracking

Blasch¹,

Kahler²

2015

SPIE Proceedings

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The Motion Imagery Standards Board (MISB) has created the Video National Imagery Interpretability Rating Scale (V-NIIRS). VNIIRS extends NIIRS to scene characterization from streaming video to include object recognition of various targets for a given size. To apply VNIIRs for target tracking, there is a need to understand the operating conditions of the sensor type, environmental phenomenon, and target behavior (SET). In this paper, we explore VNIIRS for target tracking given the sensor resolution to support the relative tracking performance using track success. The relative assessment can be used in relation to the absolute target size associated with the VNIIRS. In a notional analysis, we determine the issues and capabilities of using VNIIRS video quality ratings to determine track success. The outcome of the trade study is an experiment to understand how to use VNIIRS can support target tracking evaluation.

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“…Regarding on the available evidences, the Dempster-Shafer (D-S) evidence theory is a probabilistic appropriate combination method [15], which has been used in traffic applications without prior probabilities. For the basic probabilistic assignment (BPA), two alternative methods for combining multi-evidence were explored in [16]. First, an improved D-S evidence theory on safety risk perception was proposed in [17], where the combination rule and weighted rule were utilized to synthesize multi-evidence.…”

Section: Introductionmentioning

confidence: 99%

Innovative Decision and Forecasting Approach on Navigation Risk

Tian

et al. 2020

IEEE Access

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In view to the unstable navigation risk assessment and make the future navigation risk forecasting, an innovative decision and forecasting approach is put forward in this study. Different from the existing literature, at the current time step, we first deduce an enhanced evidence combination rule to integrate uncertain and conflicting evidences by using weighted basic probabilistic assignment and matrix operation. As a result, a stable decision is effectively achieved no matter what characteristics of the available evidences are. Further, an improved α-β filter is designed with its adaptive coefficients in the novel filtering framework in order to forecast the future navigation risk. What's more, it is an excellent communication between the combined basic probabilistic assignment and the improved α-β filter for the first time. After the deep analysis of the computational complexity, a plenty of numeric simulations and actual experiments are provided to indicate the reliability and efficiency of the proposed approach.

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Overview of Dempster-Shafer and belief function tracking methods

Cited by 23 publications

References 69 publications

The Improvement of DS Evidence Theory and Its Application in IR/MMW Target Recognition

The Improvement of DS Evidence Theory and Its Application in IR/MMW Target Recognition

Application of VNIIRS for target tracking

Innovative Decision and Forecasting Approach on Navigation Risk

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