Multitarget tracking system based on binary phase extraction joint transform correlator and neural data association algorithm

1994 ◽  
Author(s):  
Sang-Yi Yi ◽  
Chang M. Ryu ◽  
Eun-Soo Kim
Keyword(s):  
Tracking System ◽  
Data Association ◽  
Multitarget Tracking ◽  
Phase Extraction ◽  
Joint Transform Correlator ◽  
Neural Data ◽  
Binary Phase ◽  
Association Algorithm

A Multi-Sensor Data Association Algorithm Based on Time Constraint

2014 ◽  
Vol 556-562 ◽  
pp. 3579-3584
Author(s):  
Ya Qin Ai ◽  
Xi Tian ◽  
Hong Shan Nie ◽  
Yu Jun Liu
Keyword(s):  
Tracking System ◽  
Data Association ◽  
Optimal Solution ◽  
Global Optimum ◽  
Time Constraint ◽  
Sensor Data ◽  
Association Model ◽  
System A ◽  
Statistical Distance ◽  
Association Algorithm

For the high real-time demands of multi-sensor target tracking system, a global optimum data association algorithm based on time constraint is presented. Firstly, the statistical distance between measurement and prediction center of the track is calculated. An optimal association model among all measurements and all tracks is founded. Then, an improved auction algorithm is proposed to solve the association model. Multi-time auction is conducted in the constrained time, and the optimal solution is obtained by comparing the value of objective function. Simulation shows that the proposed method has a perfect association performance in the constrained time.

Sign in / Sign up

Export Citation Format

Share Document