Ponencia
High-Level Performance Evaluation of Object Detection Based on Massively Parallel Focal-Plane Acceleration Requiring Minimum Pixel Area Overhead
Autor/es | Parra Barrero, Eloy
Fernández Berni, Jorge Oliveira, Fernanda D.V.R. Carmona Galán, Ricardo Rodríguez Vázquez, Ángel Benito |
Departamento | Universidad de Sevilla. Departamento de Electrónica y Electromagnetismo |
Fecha de publicación | 2016 |
Fecha de depósito | 2019-09-19 |
Publicado en |
|
Resumen | Smart CMOS image sensors can leverage the inherent data-level parallelism and regular computational flow of early vision by incorporating elementary processors at pixel level. However, it comes at the cost of extra area ... Smart CMOS image sensors can leverage the inherent data-level parallelism and regular computational flow of early vision by incorporating elementary processors at pixel level. However, it comes at the cost of extra area having a strong impact on the sensor sensitivity, resolution and image quality. In this scenario, the fundamental challenge is to devise new strategies capable of boosting the performance of the targeted vision pipeline while minimally affecting the sensing function itself. Such strategies must also feature enough flexibility to accommodate particular application requirements. From these high-level specifications, we propose a focal-plane processing architecture tailored to speed up object detection via the Viola-Jones algorithm. This architecture is supported by only two extra transistors per pixel and simple peripheral digital circuitry that jointly make up a massively parallel reconfigurable processing lattice. A performance evaluation of the proposed scheme in terms of accuracy and acceleration for face detection is reported. |
Identificador del proyecto | TEC2012-38921-C02
TIC 2338-2013 N000141410355 |
Cita | Parra Barrero, E., Fernández Berni, J., Oliveira, F.D.V.R., Carmona Galán, R. y Rodríguez Vázquez, Á.B. (2016). High-Level Performance Evaluation of Object Detection Based on Massively Parallel Focal-Plane Acceleration Requiring Minimum Pixel Area Overhead. En Proceedings of 11th International Conference on Computer Vision Theory and Applications (VISAPP) (79-85), Roma, Italia: Springer. |
Ficheros | Tamaño | Formato | Ver | Descripción |
---|---|---|---|---|
High-Level Performance Evaluat ... | 1.288Mb | [PDF] | Ver/ | |