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For still imagery, the national imagery interpretability rating scale (NIIRS) has served as a community standard for quantifying interpretability. No comparable scale exists for motion imagery. This paper summarizes a series of user evaluations to understand and quantify the effects of critical factors affecting the perceived interpretability of motion imagery. These evaluations provide the basis...
Surveillance cameras are inexpensive and everywhere these days but the manpower required to monitor and analyze them is expensive. Consequently the videos from these cameras are usually monitored sparingly or not at all; they are often used merely as archive, to refer back to once an incident is known to have taken place. Surveillance cameras can be a far more useful tool if instead of passively recording...
One of the key problems of conventional iris recognition methods is that they are based on processing single iris image and require good image quality as an essential condition. These requisites entail considerable constraints on users for taking iris images. Video based iris recognition can provide convenience and time efficiency to the subjects with undemanding restrains during iris acquisition...
Face detection and recognition in a video is a challenging research topic as overall processes must be done timely and efficiently. In this paper, a novel face detection and recognition system using three fast cascade face verification modules and an ensemble classifier is presented. Firstly, the head of a tester is serially verified by our proposed three verification modules: face skin verification...
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