Thermal cameras and applications: a survey
By Rikke Gade, Thomas Baltzer Moeslund. Machine Vision and Applications, 2013
758 citations recorded by the source corpus.
Subfields: Aerospace Engineering, Mechanics of Materials, Radiology, Nuclear Medicine and Imaging
View Paper: https://www.semanticscholar.org/paper/74e2307a62404a86dbd454823f4a8c61f1df0f34
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Aerospace Engineering
- Hui Cheng
- Laura Vega
- Margrit Betke
- Liang Lin
- Chenglong Li
- Francisco G. Bulnes
- Julio Molleda
- Jin Tang
In Mechanics of Materials
- Laura Vega
- Francisco G. Bulnes
- Julio Molleda
- Jon Guerediaga
- Pablo Venegas
- Rubén Usamentiaga
- G. Tattersall
In Radiology, Nuclear Medicine and Imaging
Citations in the corpus
- Learning Collaborative Sparse Representation for Grayscale-Thermal Tracking (2016, background): “has recently become more economically affordable and thus applied to wide applications [2], [3].”
- An Overview of Autonomous Vehicles Sensors and Their Vulnerability to Weather Conditions (2021, neutral): “They can be extended to the near-infrared (NIR: 780 nm–3 mm) and the mid-infrared (MIR: 3–50 mm; known as thermal cameras) [24,25] for certain applications.”
- Quality assessment in laser welding: a critical review (2017, background): “emitted by all objects with a temperature above absolute zero [24].”
- Infrared Thermography for Temperature Measurement and Non-Destructive Testing (2014, background): “IRT has many advantages over other technologies [6].”
- A Systematic Review of Perception System and Simulators for Autonomous Vehicles Research (2019, background): “Perception systems that includes IR cameras [14,15] work in near-infrared (NIR: 780 nm–3 mm) or mid-infrared (MIR: 3 mm–50 mm, known as thermal cameras) ranges.”
- RGB-T Object Tracking: Benchmark and Baseline (2018, background): “. Integrating visible and thermal (called RGB-T in this paper) spectrum data has been proven to be effective in boosting tracking performance, and also allows tracking target objects in day and night [1]. Visible and thermal information complement each other and contribute to visual tracking in diff”
- A Thermal Infrared Video Benchmark for Visual Analysis (2014, background): “Recent studies have gone beyond the traditional tasks and applied thermal imaging to monitoring of wild animals, noninvasive food inspection, and heat loss detection [1], [2].”