On Spatial Attention in Object Tracking using a Synthetic Aperture Camera Array

Christoph Walter, Maik Poggendorf, Norbert Elkmann, and Felix Penzlin


Computer Vision, Robotics, Science and Engineering


Here we present a way to perform visual tracking tasks using a synthetic aperture camera array. When using such a device, depth information on salient objects can easily be recovered by shifting the distance of a virtual focal plane relative to the synthetic camera while maximizing contrast. To support the process we propose a spatial attention scheme. The scheme allows distributed software modules to search for an acceptable depth estimate by iterating over possible interpretations of previously acquired images by implementing an anytime-algorithm.

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