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In the current digital environment, mobile devices make large amounts of information available at our fingertips. As a result of that, eye fatigue has become one of the major alarming factors faced by increasing amount of mobile device users. But the issue in this area is unavailability of feasible, practical and more importantly personalized solution to minimize this eye fatigue. Therefore, as a...
Search and Rescue or surveillance applications from en embedded moving camera yield challenging computer vision problems as both very high precision/recall and real-time performance are required. However, in these contexts, it is often sufficient to assess the detection of each object of interest only once in the area spanned by the camera, with the idea that what matters is to be aware of its existence,...
In this paper, we describe a novel design for a real-time localization system capable of tracking a highly maneuverable target within a 360 degree range of the camera. The target is defined for surveillance. The approach to tracking includes using a controllable camera which is re-oriented according to the tracked location of the target object. Fuzzy logic is used to determine the direction of motion...
Augmented Reality (AR) combines a live view of a real world environment with computer-generated virtual content. An AR system poses unique challenges including requiring a high quality camera pose estimate and operating on resource-limited platforms. We present a full system based on a hybrid approach using ORB binary features and optic flow that is able to run on a consumer tablet device in near...
We present a robust model-based stereo head tracking algorithm that operates in real time on a commodity PC. The use of an individualized three-dimensional head model, coupled with the epipolar constraint from the stereo image pair greatly improves the robustness of the tracking. Experimental results have shown that our method is able to track all the six degrees of freedom of the rigid part of head...
The results using the DESA-1 (discrete energy separation algorithm-1) quadratic frequency estimator to determine the frequency and rate of change of the second-formant frequency are shown. It is shown for different vowel environments that the DESA-1 algorithm can extract sufficient information to classify stops from vocalic data. The performance is demonstrated to be superior to that of a formant...
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