Artículo
Event-Driven Stereo Visual Tracking Algorithm to Solve Object Occlusion
Autor/es | Camuñas Mesa, Luis Alejandro
Serrano Gotarredona, María Teresa Ieng, Sio-Hoi Benosman, Ryad B. |
Departamento | Universidad de Sevilla. Departamento de Arquitectura y Tecnología de Computadores Universidad de Sevilla. Departamento de Electrónica y Electromagnetismo |
Fecha de publicación | 2018 |
Fecha de depósito | 2020-10-21 |
Publicado en |
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Resumen | Object tracking is a major problem for many computer
vision applications, but it continues to be computationally
expensive. The use of bio-inspired neuromorphic event-driven
dynamic vision sensors (DVSs) has heralded ... Object tracking is a major problem for many computer vision applications, but it continues to be computationally expensive. The use of bio-inspired neuromorphic event-driven dynamic vision sensors (DVSs) has heralded new methods for vision processing, exploiting reduced amount of data and very precise timing resolutions. Previous studies have shown these neural spiking sensors to be well suited to implementing singlesensor object tracking systems, although they experience difficulties when solving ambiguities caused by object occlusion. DVSs have also performed well in 3-D reconstruction in which event matching techniques are applied in stereo setups. In this paper, we propose a new event-driven stereo object tracking algorithm that simultaneously integrates 3-D reconstruction and cluster tracking, introducing feedback information in both tasks to improve their respective performances. This algorithm, inspired by human vision, identifies objects and learns their position and size in order to solve ambiguities. This strategy has been validated in four different experiments where the 3-D positions of two objects were tracked in a stereo setup even when occlusion occurred. The objects studied in the experiments were: 1) two swinging pens, the distance between which during movement was measured with an error of less than 0.5%; 2) a pen and a box, to confirm the correctness of the results obtained with a more complex object; 3) two straws attached to a fan and rotating at 6 revolutions per second, to demonstrate the high-speed capabilities of this approach; and 4) two people walking in a real-world environment. |
Agencias financiadoras | Ministerio de Economía y Competitividad (MINECO). España Ministerio de Economía y Competitividad (MINECO). España Junta de Andalucía |
Identificador del proyecto | TEC2012-37868-C04-01
TEC2015-63884-C2-1-P TIC-6091 |
Cita | Camuñas Mesa, L.A., Serrano Gotarredona, M.T., Ieng, S. y Benosman, R. (2018). Event-Driven Stereo Visual Tracking Algorithm to Solve Object Occlusion. IEEE Transactions on Neural Networks and Learning Systems, 29 (9), 4223-4237. |
Ficheros | Tamaño | Formato | Ver | Descripción |
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