open access

https://hdl.handle.net/2115/39715

Localization of Pedestrian Lights on Mobile Devices

英語

2009-10-04

Asia-Pacific Signal and Information Processing Association, 2009 Annual Summit and Conference, International Organizing Committee

Proceedings : APSIPA ASC 2009 : Asia-Pacific Signal and Information Processing Association, 2009 Annual Summit and Conference

398-405

APSIPA ASC 2009: Asia-Pacific Signal and Information Processing Association, 2009 Annual Summit and Conference. 4-7 October 2009. Sapporo, Japan. Oral session: Vision-based Information Processing and Applications (6 October 2009).

In this work a framework is presented to localize and classify pedestrian lights using mobile devices. Our method can be applied as interactive assistance for visually handicapped people to help them passing a pedestrian crossing. Since the computation power and the storage resources of mobile devices are limited the main objective on the localization task is the efficiency of the used computer vision algorithms. The requirement on the traffic light classification is not to miss the crucial red light (reliability). We have designed a prototype for German traffic lights and realized it on a Nokia N95. The presented results demonstrate the efficiency as well as reliability of our method.

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