Study of Moving Targets Tracking Methods for a Multi-beam Tracking System in Terahertz Band

2020 ◽  
pp. 1-1
Author(s):  
Hongwei Li ◽  
Chao Li ◽  
Hang Gao ◽  
Shiyou Wu ◽  
Guangyou Fang
2008 ◽  
Vol 35 (6Part25) ◽  
pp. 2967-2967 ◽  
Author(s):  
C Bert ◽  
N Saito ◽  
A Schmidt ◽  
N Chaudhri ◽  
D Schardt ◽  
...  

2009 ◽  
Vol 54 (16) ◽  
pp. 4849-4862 ◽  
Author(s):  
Nami Saito ◽  
Christoph Bert ◽  
Naved Chaudhri ◽  
Alexander Gemmel ◽  
Dieter Schardt ◽  
...  

Author(s):  
Xuejun Tian ◽  
Haowen Feng ◽  
Jieyan Chen

Aiming at the detection and tracking of moving targets in industrial automation system, a dynamic target tracking algorithm based on HAAR and CAMSHIFT is proposed. A cascade HAAR classifier is designed and trained for tracking targets. CAMSHIFT algorithm is used to track and detect moving targets quickly. The system is tested on Raspberry Pi embedded platform. The results show that the algorithm can detect the target correctly and track the target effectively.


2014 ◽  
Vol 68 (11) ◽  
pp. 1289-1295 ◽  
Author(s):  
Xiangyan Liu ◽  
Zheng Fang ◽  
Xiaobing Dai ◽  
Xudong He ◽  
Pengcheng Gao

This paper presents the design and fabrication of an infrared scanning and tracking system for detecting mid-wave infrared (MWIR) spectral characteristics of moving targets. The infrared spectra and infrared image are integrated in this system, which is mainly composed of a two-dimensional (2D) scanning mirror, dual-band infrared lens, long-wave infrared imaging unit, MWIR spectrum-measuring unit, and processing-controlling unit. After describing the design specifications of this system, this paper analyzes the detection method and then describes how the tracking was realized by controlling the 2D scanning mirror. Experiments were carried out to verify its feasibility.


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