Data Fusion in a Multi Agent System for Person Detection and Tracking in an Intelligent Room

2015 ◽  
pp. 385-394 ◽  
Author(s):  
Matei Chiperi ◽  
Mihai Trascau ◽  
Irina Mocanu ◽  
Adina Magda Florea
Keyword(s):  
Data Fusion ◽  
Multi Agent System ◽  
Agent System ◽  
Person Detection ◽  
Detection And Tracking ◽  
Multi Agent

scholarly journals Conflict Data Fusion in a Multi-Agent System Premised on the Base Basic Probability Assignment and Evidence Distance

Entropy ◽  
2021 ◽  
Vol 23 (7) ◽  
pp. 820
Author(s):  
Jingyu Liu ◽  
Yongchuan Tang
Keyword(s):  
Data Fusion ◽  
Evidence Theory ◽  
Multi Agent System ◽  
Agent System ◽  
Combination Rules ◽  
Probability Assignment ◽  
Basic Probability Assignment ◽  
Reasonable Evidence ◽  
Basic Probability ◽  
Multi Agent

The multi-agent information fusion (MAIF) system can alleviate the limitations of a single expert system in dealing with complex situations, as it allows multiple agents to cooperate in order to solve problems in complex environments. Dempster–Shafer (D-S) evidence theory has important applications in multi-source data fusion, pattern recognition, and other fields. However, the traditional Dempster combination rules may produce counterintuitive results when dealing with highly conflicting data. A conflict data fusion method in a multi-agent system based on the base basic probability assignment (bBPA) and evidence distance is proposed in this paper. Firstly, the new bBPA and reconstructed BPA are used to construct the initial belief degree of each agent. Then, the information volume of each evidence group is obtained by calculating the evidence distance so as to modify the reliability and obtain more reasonable evidence. Lastly, the final evidence is fused with the Dempster combination rule to obtain the result. Numerical examples show the effectiveness and availability of the proposed method, which improves the accuracy of the identification process of the MAIF system.

Development for granular computing-based multi-agent system for data fusion process

2013 ◽  
Vol 48 (4) ◽  
pp. 321
Author(s):  
Bin Ma ◽  
Nannan Li ◽  
Kuan Huang ◽  
Changtao Wang ◽  
Zhonghua Han ◽  
...  
Keyword(s):  
Data Fusion ◽  
Granular Computing ◽  
Fusion Process ◽  
Multi Agent System ◽  
Agent System ◽  
Multi Agent

Multi-agent system for people detection and tracking using stereo vision in mobile robots

Robotica ◽  
2008 ◽  
Vol 27 (05) ◽  
pp. 715 ◽  
Author(s):  
R. Muñoz-Salinas ◽  
E. Aguirre ◽  
M. García-Silvente ◽  
A. Ayesh ◽  
M. Góngora
Keyword(s):  
Mobile Robots ◽  
Stereo Vision ◽  
Multi Agent System ◽  
People Detection ◽  
Agent System ◽  
Detection And Tracking ◽  
Multi Agent

Holonic Multi Agent System for Data Fusion in Vehicle Classification

2016 ◽  
pp. 151-161
Author(s):  
Ljiljana Šerić ◽  
Damir Krstinić ◽  
Maja Braović ◽  
Ivan Milatić ◽  
Aljoša Mirčevski ◽  
...  
Keyword(s):  
Data Fusion ◽  
Vehicle Classification ◽  
Multi Agent System ◽  
Agent System ◽  
Multi Agent

Digital Circuit of Multi-Agent System for Two Pedestrian Streams in A Narrow Path

2014 ◽  
Vol 2 ◽  
pp. 471-474
Author(s):  
Takashi TOYOFUKU ◽  
Kunihiko MITSUBORI
Keyword(s):  
Digital Circuit ◽  
Multi Agent System ◽  
Agent System ◽  
Multi Agent
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