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In this work, we discuss utility of Restricted Boltzmann Machine (RBM) in face-deidentification challenge. GRBM is a generative modeling technique and its unsupervised learning provides vantage of using raw faces data. Faces are deidentified by reconstructed face images from the trained GRBM model. The reconstructed image uses random information from the stochastic units which makes it hard to re-identify...
In recent years, category-level object detection has gained a lot of attention. In addition to object localization, estimation of the object pose has practical applications in intelligent transportation, autonomous driving and robotics. Parts based models have been used for pose estimation in recent years, but these models depend on manual supervision or require a complex algorithm to locate the object...
In this work we focused on the application aspect of object tracking for pan-tilt-zoom (PTZ) camera using ordinary webcam mounted on custom made motor-assembly and found that our system is not only robust to illumination conditions but also cost-effective in comparison with PTZ cameras. For object tracking we utilized Fast Compressive Tracking (FCT) algorithm because of its attractive features e.g...
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