Performance Evaluation for IR Small Target Tracking Algorithm

2011 ◽  
Author(s):  
Yi-qiang Fang ◽  
Xiang Fan
Keyword(s):  
Performance Evaluation ◽  
Target Tracking ◽  
Tracking Algorithm ◽  
Small Target

Infrared small target tracking algorithm based on temporal-spatial structure sparse Bayesian estimation

2020 ◽  
Vol 105 ◽  
pp. 103160 ◽  
Author(s):  
Zhengzhou Li ◽  
Cheng Chen ◽  
Depeng Liu ◽  
Chao Zhang ◽  
Jingjie Zeng ◽  
...  
Keyword(s):  
Spatial Structure ◽  
Target Tracking ◽  
Bayesian Estimation ◽  
Tracking Algorithm ◽  
Small Target ◽  
Infrared Small Target

Performance Evaluation Based on Information Theory for Multi-Target Tracking Algorithm

2013 ◽  
Vol 694-697 ◽  
pp. 2341-2344
Author(s):  
Shu Rong Tian ◽  
Xiao Shu Sun ◽  
Dan Liu
Keyword(s):  
Information Theory ◽  
Performance Evaluation ◽  
Target Tracking ◽  
Ground Truth ◽  
Tracking Algorithm ◽  
Tracking Performance ◽  
Actual State ◽  
Target Number ◽  
Multi Target Tracking

This paper is concerned with the performance evaluation of algorithm of multi-target and target types tracking. Performance evaluation is based on information theory, Kullback-Leibler measure is used to discriminate information provided by algorithm. Through simulations, algorithm of multi-target tracking was evaluated in term of information (localization, classification, and target number components) the algorithm provide about the actual state of ground truth.

The Study on Weighted Target Tracking Algorithm for Binary Sensor Networks

2010 ◽  
Vol 32 (9) ◽  
pp. 2052-2057
Author(s):  
Xiao-yan Sun ◽  
Jian-dong Li ◽  
Yan-hui Chen ◽  
Wen-zhu Zhang ◽  
Jun-liang Yao
Keyword(s):  
Sensor Networks ◽  
Target Tracking ◽  
Tracking Algorithm ◽  
Binary Sensor
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