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Titlebook: Surveillance in Action; Technologies for Civ Panagiotis Karampelas,Thirimachos Bourlai Book 2018 Springer International Publishing AG 2018

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楼主: clot-buster
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A Study on Human Recognition Using Auricle and Side View Face Imageside view using four databases (FERET, WVU, UND, and USTB). The contributions of this paper are three-fold: (i) by investigating which parts of the head side view increase the probability of successful human authentication, we determined that ears provide main features in the head side view. The rank
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Cross-Spectral Iris Matching for Surveillance Applicationsabor filter with different photometric normalization models and descriptors along with decision level fusion to achieve the cross-spectral matching. Experimental and comparative results on the UTIRIS and the PolyU databases demonstrate that the proposed methods achieve promising results. In addition
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Facial Surveillance and Recognition in the Passive Infrared Bandsof illumination (e.g. indoor vs. outdoor). For homogeneous FR systems, we formulate and develop an efficient, semi-automated, direct matching-based FR framework, that is designed to operate efficiently when face data is captured using either visible or IR sensors. Thus, it can be applied in both day
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Drones Surveillance—Challenges and Techniquesl and operational elements that make remotely controlled and/or autonomous vehicles ideal for the execution of surveillance tasks for both civil and military applications and the challenges, be it technical or ethical, that such operational applications may face.
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