scholarly journals Joint Target Detection and Tracking in Multipath Environment: A Variational Bayesian Approach

2020 ◽  
Vol 56 (3) ◽  
pp. 2136-2156 ◽  
Author(s):  
Hua Lan ◽  
Shuai Sun ◽  
Zengfu Wang ◽  
Quan Pan ◽  
Zhishan Zhang
Keyword(s):  
Target Detection ◽  
Bayesian Approach ◽  
Variational Bayesian ◽  
Detection And Tracking ◽  
Multipath Environment

scholarly journals A Bayesian Approach to Multiple Target Detection and Tracking

2007 ◽  
Vol 55 (5) ◽  
pp. 1589-1604 ◽  
Author(s):  
Mark R. Morelande ◽  
Christopher M. Kreucher ◽  
Keith Kastella
Keyword(s):  
Target Detection ◽  
Bayesian Approach ◽  
Multiple Target ◽  
Detection And Tracking

The Research of Moving Target Detection and Tracking System Based on DM6437

2015 ◽  
Vol 734 ◽  
pp. 203-206
Author(s):  
En Zeng Dong ◽  
Sheng Xu Yan ◽  
Kui Xiang Wei
Keyword(s):  
Target Detection ◽  
Digital Signal Processor ◽  
Moving Objects ◽  
Tracking System ◽  
Digital Signal ◽  
Gaussian Mixture ◽  
Background Model ◽  
Moving Target ◽  
Moving Target Detection ◽  
Detection And Tracking

In order to enhance the rapidity and the accuracy of moving target detection and tracking, and improve the speed of the algorithm on the DSP (digital signal processor), an active visual tracking system was designed based on the gaussian mixture background model and Meanshift algorithm on DM6437. The system use the VLIB library developed by TI, and through the method of gaussian mixture background model to detect the moving objects and use the Meanshift tracking algorithm based on color features to track the target in RGB space. Finally, the system is tested on the hardware platform, and the system is verified to be quickness and accuracy.

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