scholarly journals Automatic aerial target detection and tracking system in airborne FLIR images based on efficient target trajectory filtering

Author(s):  
Carlos R. del-Blanco ◽  
Fernando Jaureguizar ◽  
Luis Salgado ◽  
Narciso García
2015 ◽  
Vol 734 ◽  
pp. 203-206
Author(s):  
En Zeng Dong ◽  
Sheng Xu Yan ◽  
Kui Xiang Wei

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.


2018 ◽  
Vol 35 (1) ◽  
pp. 61-73 ◽  
Author(s):  
Xingli HUANG ◽  
TIANFAN ZHANG ◽  
ZHENGHONG DENG ◽  
ZHE LI

2018 ◽  
Vol 16 (7) ◽  
pp. 071101 ◽  
Author(s):  
Qinghua Yu Qinghua Yu ◽  
Dongmei Wu Dongmei Wu ◽  
Fuchun Chen Fuchun Chen ◽  
Shengli Sun Shengli Sun

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