Evaluation of the operating range for ground-based infrared imaging tracking system

2011 ◽  
Author(s):  
Bin Zhang ◽  
Zhen-duo Zhang ◽  
Shu-mei Zhang
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.


Electronics ◽  
2019 ◽  
Vol 8 (11) ◽  
pp. 1301 ◽  
Author(s):  
Bardia Yousefi ◽  
Hossein Memarzadeh Sharifipour ◽  
Mana Eskandari ◽  
Clemente Ibarra-Castanedo ◽  
Denis Laurendeau ◽  
...  

Thermal imagery for monitoring of body temperature provides a powerful tool to decrease health risks (e.g., burning) for patients during medical imaging (e.g., magnetic resonance imaging). The presented approach discusses an experiment to simulate radiology conditions with infrared imaging along with an automatic thermal monitoring/tracking system. The thermal tracking system uses an incremental low-rank noise reduction applying incremental singular value decomposition (SVD) and applies color based clustering for initialization of the region of interest (ROI) boundary. Then a particle filter tracks the ROI(s) from the entire thermal stream (video sequence). The thermal database contains 15 subjects in two positions (i.e., sitting, and lying) in front of thermal camera. This dataset is created to verify the robustness of our method with respect to motion-artifacts and in presence of additive noise (2–20%—salt and pepper noise). The proposed approach was tested for the infrared images in the dataset and was able to successfully measure and track the ROI continuously (100% detecting and tracking the temperature of participants), and provided considerable robustness against noise (unchanged accuracy even in 20% additive noise), which shows promising performance.


Author(s):  
Paul A. Wetzel ◽  
Gretchen Krueger-Anderson ◽  
Christine Poprik ◽  
Peter Bascom

1993 ◽  
Vol 9 (2) ◽  
pp. 96-100 ◽  
Author(s):  
Thomas Payne ◽  
Susan Kanvik ◽  
Richard Seward ◽  
Doug Beeman ◽  
Angela Salazar ◽  
...  

2018 ◽  
Vol 2 (1) ◽  
Author(s):  
Fatima Ameen ◽  
Ziad Mohammed ◽  
Abdulrahman Siddiq

Tracking systems of moving objects provide a useful means to better control, manage and secure them. Tracking systems are used in different scales of applications such as indoors, outdoors and even used to track vehicles, ships and air planes moving over the globe. This paper presents the design and implementation of a system for tracking objects moving over a wide geographical area. The system depends on the Global Positioning System (GPS) and Global System for Mobile Communications (GSM) technologies without requiring the Internet service. The implemented system uses the freely available GPS service to determine the position of the moving objects. The tests of the implemented system in different regions and conditions show that the maximum uncertainty in the obtained positions is a circle with radius of about 16 m, which is an acceptable result for tracking the movement of objects in wide and open environments.


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