Boosting object detection in cyberphysical systems

• Autores: José Miguel Buenaposada Biencinto, Luis Baumela Molina
• Localización: Understanding the Brain Function and Emotions: 8th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2019 Almería, Spain, June 3–7, 2019 Proceedings, Part I / José Manuel Ferrández Vicente (dir. congr.), José Ramón Álvarez Sánchez (dir. congr.), Félix de la Paz López (dir. congr.), Francisco Javier Toledo Moreo (dir. congr.), Hojjat Adeli (dir. congr.), 2019, ISBN 978-3-030-19591-5, págs. 309-318
• Idioma: inglés
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• Resumen

  • 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.