A new fuzzy data association based on attribute features

2014 ◽  
Author(s):  
Xi-chen Niu ◽  
Hong-bin Jin ◽  
Jia-jun Xiong ◽  
Li-cai Wang
Keyword(s):  
Data Association ◽  
Fuzzy Data

scholarly journals A Novel Fuzzy Data Association Approach for Visual Multi-object Tracking

2017 ◽  
Vol 12 ◽  
pp. 05004
Author(s):  
Liang-Qun Li ◽  
En-Qun Li ◽  
Wen-Ming He
Keyword(s):  
Object Tracking ◽  
Data Association ◽  
Fuzzy Data

Directional Fuzzy Data Association Filter

2012 ◽  
Vol 7 (10) ◽  
Author(s):  
Pengfei Li ◽  
Jingxiong Huang ◽  
Lixin Ye ◽  
Yi Wang ◽  
Zhijun Li ◽  
...  
Keyword(s):  
Data Association ◽  
Fuzzy Data

Modified Maximum Entropy Fuzzy Data Association Filter

2010 ◽  
Vol 132 (2) ◽  
Author(s):  
Abdolreza Dehghani Tafti ◽  
Nasser Sadati
Keyword(s):  
Target Tracking ◽  
Maximum Entropy ◽  
Fuzzy Clustering ◽  
Data Association ◽  
Computational Cost ◽  
Fuzzy Data ◽  
Multiple Target Tracking ◽  
Multiple Target ◽  
Cluttered Environment ◽  
Fuzzy Clustering Method

The problem of fuzzy data association for target tracking in a cluttered environment is discussed in this paper. In data association filters based on fuzzy clustering, the association probabilities of tracking filters are reconstructed by utilizing the fuzzy membership degree of the measurement belonging to the target. Clearly in these filters, the fuzzy clustering method has an important role; better approach causes better precision in target tracking. Recently, by using the information theory, the maximum entropy fuzzy data association filter (MEF-DAF), as a fast and efficient algorithm, is introduced in literature. In this paper, by modification of a fuzzy clustering objective function, which is prepared for using in target tracking, a modified maximum entropy fuzzy data association filter (MMEF-DAF) is proposed. The MMEF-DAF has a better performance in case of single and multiple target tracking than MEF-DAF, and the other known algorithms such as probabilistic data association filter and the hybrid fuzzy data association filter. Using Monte Carlo simulations, the superiority of the proposed algorithm in comparison with the previous ones is demonstrated. Simply, less computational cost and suitability for real-time applications are the main advantages of the proposed algorithm.

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