Human Detection, Identification, and Recognition of Gesture and Behavior based on Thermal Camera
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Physical Sensors".
Deadline for manuscript submissions: closed (30 September 2017) | Viewed by 84371
Special Issue Editors
Interests: Deep Learning, Digital Image Processing, Computer Vision, Biometrics, Computer Graphics
Interests: human detection and recognition; gesture recognition; face recognition; HEVC
Special Issues, Collections and Topics in MDPI journals
Interests: pedestrian and vehicle detection; recognition; vision for advanced driver assistance systems (ADAS); robot vision
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
A thermal camera image can reveal a human body based on body temperature, which is detectable in the range of medium-wavelength infrared (MWIR) at 3–8 µm and long-wavelength infrared (LWIR) at 8–15 µm. Nevertheless, human detection, identification, and recognition of gestures and behaviors, based on thermal cameras, are challenging issues. This is because thermal cameras often produce an image of low signal-to-noise ratio (SNR) and a halo effect near the human. In addition, the distinction between the human and the background in the thermal image can be reduced when the background temperature is similar to that of the human (notably during the day). Therefore, all these factors can increase errors in human detection and identification, and the recognition of gestures and behaviors using a thermal camera.
The objective of this Special Issue is to invite high-quality, state-of-the-art research papers that deal with challenging issues in human detection, identification, and the recognition of gestures and behaviors using thermal cameras. We solicit the original papers of unpublished and completed research that are not currently under review by any other conference/magazine/journal. Topics of interests include, but are not limited to:
• human detection using thermal camera
• human identification using thermal camera
• gesture recognition using thermal camera
• behavior recognition using thermal camera
• human detection, identification, and the recognition of gestures and behaviors using multimodal cameras (thermal camera with visible light camera, or with near-infrared (NIR) camera, etc.)
• emotion recognition using thermal camera or multimodal cameras
• applications and case studies
Prof. Kang Ryoung Park
Prof. Sangyoun Lee
Prof. Euntai Kim
Guest Editors
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Keywords
- human detection
- human identification
- gesture recognition
- behavior recognition
- emotion recognition
- thermal camera
- multimodal cameras
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