KEYWORDS: Cameras, Calibration, Stereoscopic cameras, 3D modeling, 3D metrology, Infrared cameras, Thermography, 3D vision, 3D image processing, Stereo vision systems
Thermal imaging can be used to characterize heated objects in numerous applications, including security and surveillance, where it is vital to locate an object within a 3D space. This can be achieved with stereoscopic vision, where optical sensors are used to construct a 3D image of the space it is looking at. In order to enhance computer vision research in the thermal modality, stereo thermal-infrared camera calibration must be precise and effective. This research presents a calibration board for thermal stereo vision systems that allows for visual thermal contrast and corner detection within the pattern. In an unstructured and dynamic environment, this thermal stereo vision provides a 3D volumetric measurement for depth estimation of the whole scene within the optical sensors’ combined field of view. Experiments are carried out in the lab, with a mean calibration re-projection error of 0.4 pixel and it is estimated the accuracy of 97.26% at a distance of around 6m for 3D depth measurement.
In typical Intelligence Surveillance and Reconnaissance (ISR) missions, persistent surveillance is commonly defined as the exercise of automatic intelligence discovery by monitoring a wide area coverage at a high altitude leveraging an aerial platform (manned or unmanned). It can be large enough to carry a matrix of high resolution cameras and a rack of high performance computing images processing and exploitation units (PEU). The majority of the small unmanned aerial vehicles (sUAV) are able to carry optics payloads, allowing them to take aerial images from strategic viewpoints. This capability constitutes a key enabler for an immense number of applications, such as crowd monitoring, search and rescue, surveillance scenario, industrial inspection and so on. The constrained onboard processing power in addition to the strict limit in the flying time of sUAV are amongst the serious challenges that have to be overcome to enable a cost effective persistent surveillance based on sUAV platforms. In this paper, we conduct a feasibility study for developing a potential sUAV based persistent surveillance system with tethered power supply.
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