We present a solution for monitoring nocturnal giraffe behavior by reducing several hours of thermal camera surveillance footage into a short video summary which can be reviewed by experts.
We combine this information with tracked player positions to build a structured predictor. Given unseen player positions from a new game, we use the learned predictor to generate target pan-tilt-zoom values for a robotic camera.
Large scale structure-from-motion (SfM) algorithms have recently enabled us to reconstruct highly detailed 3-D models of our surroundings simply by taking photographs. In this paper, we propose to leverage these reconstruction techniques and automatically estimate the outdoor illumination conditions for each image in a SfM photo collection.
In this paper, we present the first method for *stylized* hair capture, a technique to reconstruct an individual’s actual hair-style in a manner suitable for physical reproduction.
In this paper, we describe a method to represent and discover adversarial group behavior in a continuous domain.
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