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.