Temporal evidence combination method for multi-sensor target recognition based on DS theory and IFS

2017 ◽  
Vol 28 (6) ◽  
pp. 1114 ◽  
Keyword(s):  
Target Recognition ◽  
Combination Method ◽  
Evidence Combination

scholarly journals Research on the Combination Method of Temporal Conflict Evidence Based on Transition Matrix

2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Bin Wu ◽  
Xiao Yi
Keyword(s):  
Transition Matrix ◽  
Transition Probability ◽  
Evidence Theory ◽  
Research Topic ◽  
Combination Method ◽  
Evidence Based ◽  
Important Research ◽  
Transition Matrices ◽  
Important Research Topic ◽  
Evidence Combination

Conflict evidence combination is an important research topic in evidence theory. In this paper, two kinds of transition matrices are constructed based on the Markov model; one is the unordered transition matrix, which satisfies the commutative law, and the other is the temporal transition matrix, which does not satisfy the commutative law, but it can handle the combination of temporal evidence well. Then, a temporal conflict evidence combination model is proposed based on these two transition matrices. First, the transition probability at the first n time is calculated through the model of unordered transition probability, and then, the transition matrix from the N + 1 time is used to solve the combination problem of temporal conflict evidence. The effectiveness of the transition matrix in the research of conflict evidence combination method is proved by the example analysis.

Moving Target Recognition and Tracking Techniques Based on Infrared Image

2014 ◽  
Vol 608-609 ◽  
pp. 473-477 ◽  
Author(s):  
Ze Gang Yang ◽  
Xiang Jun Liu ◽  
Qi Wen Zhang
Keyword(s):  
Coordinate System ◽  
Target Recognition ◽  
Tracking System ◽  
Median Filter ◽  
Infrared Image ◽  
Combination Method ◽  
Polar Coordinate System ◽  
Moving Target ◽  
Polar Coordinate ◽  
Search Speed

Infrared equipment has good concealment, strong anti-interference ability, far operating range and fast search speed. These features make it more and more used in military or civilian fields. This paper aims to realize the moving target recognition and tracking system based on Infrared scanning image. According to the actual situation, choose a combination method of Butterworth filter and Median filter as the image preprocessing algorithm, selected the segmentation algorithm based on the target local energy for continuous multi frames, and using Kalman tracking algorithm with our orientation algorithm to track the target, get the target specific position. Using GDI in VC++ to establish Radar Scanning polar coordinate system, show the target trajectory in the coordinate system.

A Method of Fast Weighted Evidence Combination Exhibited by Compound Conflict

2014 ◽  
Vol 536-537 ◽  
pp. 443-449
Author(s):  
Dong Ying Bai ◽  
Jun Han ◽  
Jian Wang ◽  
Song Li
Keyword(s):  
Exponential Growth ◽  
Large Scale ◽  
Evidence Theory ◽  
Combination Method ◽  
Evidence Combination ◽  
Center Distance ◽  
Computing Speed

Aiming at the paradox of D-S evidence theory and computations exponential growth in dealing with large scale conflict evidence combination, a new weighted evidence combination method was proposed, which used conflict coefficient and evidence distance in order to measure the conflict. Through the analysis of single conflict representations weaknesses, compound conflict coefficient has been put forward, meanwhile, the evidence center and current center distance were defined, evidence weight was determined with current center distance and conflict coefficient. The experiment results show that the algorithm settles the paradox effectively, at the same time, computing speed has been greatly enhanced.

A Weighted Evidence Combination Method Based on Improved Conflict Measure Factor

2015 ◽  
Vol 14 (3) ◽  
Author(s):  
Xiaochen Xing ◽  
Yuanwen Cai ◽  
Zhengyu Zhao ◽  
Long Cheng ◽  
Yan Li
Keyword(s):  
Combination Method ◽  
Evidence Combination
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