Pedestrian detection and direction estimation by cascade detector with multi-classifiers utilizing feature interaction descriptor | IEEE Conference Publication | IEEE Xplore

Pedestrian detection and direction estimation by cascade detector with multi-classifiers utilizing feature interaction descriptor


Abstract:

This paper proposes a pedestrian detection and direction estimation method by the cascade approach with multiclassifiers using the Feature Interaction Descriptor (FIND). ...Show More

Abstract:

This paper proposes a pedestrian detection and direction estimation method by the cascade approach with multiclassifiers using the Feature Interaction Descriptor (FIND). FIND describes the high-level properties of an object's appearance by computing pair-wise interactions of adjacent regionlevel features. To perform efficient and accurate detection using FIND, we employ the cascade approach with multiclassifiers specialized in both the direction of a pedestrian and the distance of the pedestrian from a camera. Using this framework, the developed system can improve the detection performance and provide information of the direction of a pedestrian simultaneously. The experimental results show that superior detection performance and direction estimation results were obtained by our method.
Date of Conference: 05-09 June 2011
Date Added to IEEE Xplore: 04 July 2011
ISBN Information:

ISSN Information:

Conference Location: Baden-Baden, Germany

References

References is not available for this document.