José Miguel Buenaposada Biencinto , Luis Baumela Molina
The construction of Cyberphysical systems requires providing intelligent behavior to physical agents at the smallest scale and, therefore, the need to develop very efficient and resource-aware algorithms. In this paper we present an object detection algorithm that may endow an agent with perceptual object detection capabilities at a small computational cost.To this end we adapt a recent Multi-class Boosting scheme to create an efficient detector with the capability of regressing the object bounding box.In the experiments we prove that the resulting algorithmshows Average Precision (AP) improvements in a multi-view car detection problem.
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