Power-efficient focal-plane image representation for extraction of enriched Viola-Jones features

This paper describes the use of a reconfigurable focal-plane processing array in order to achieve an image representation which dramatically reduces the computational load of the Viola-Jones object detection framework. Additionally, such representation provides richer information than the simple sum of pixels within rectangular regions originally defined in this framework. As a result, more elaborated features could be devised to speed up the execution of the subsequent attentional cascade, boosting thus the performance of the whole algorithm. The proposed circuitry has been successfully implemented in a CMOS prototype smart imager. Experimental results are given, demonstrating the suitability of the approach presented to efficiently deliver enriched Viola-Jones features.Ministerio de Ciencia e Innovación TEC2009-11812Junta de Andalucía P08-TIC-03674Office of Naval Research (USA) N00014111031

Power-efficient focal-plane image representation for extraction of enriched Viola-Jones features

Comunicación presentada al "ISCAS 2012" celebrado en Seúl (Corea del Sur) del 20 al 23 de Mayo del 2012.This paper describes the use of a reconfigurable focal-plane processing array in order to achieve an image representation which dramatically reduces the computational load of the Viola-Jones object detection framework. Additionally, such representation provides richer information than the simple sum of pixels within rectangular regions originally defined in this framework. As a result, more elaborated features could be devised to speed up the execution of the subsequent attentional cascade, boosting thus the performance of the whole algorithm. The proposed circuitry has been successfully implemented in a CMOS prototype smart imager. Experimental results are given, demonstrating the suitability of the approach presented to efficiently deliver enriched Viola-Jones features.This work is funded by MICINN (Spain) through project TEC2009-11812, co-funded by the European Regional Development Fund, also by Junta de Andalucía under the Project P08-TIC-03674 and by the Office of Naval Research (USA) through grant N000141110312.Peer Reviewe