An effective crossing cyclist detection on a moving vehicle | IEEE Conference Publication | IEEE Xplore

An effective crossing cyclist detection on a moving vehicle


Abstract:

Vision based cyclist detection is a new application in the field of intelligent transportation. Compared with pedestrian detection, this new problem is more challenging b...Show More

Abstract:

Vision based cyclist detection is a new application in the field of intelligent transportation. Compared with pedestrian detection, this new problem is more challenging because various appearence and motion of bicycles increase the diversity of the detection objects; therefore existing pedestrian detection approaches can hardly get good overall performance because cyclist detection requires more information represented by more effective features to enable detection. For general object detection and pedestrian detection, histogram of oriented gradient (HOG) features achieved great success; however it have two major drawbacks: time-consuming caused by dense/overlap sampling and only local information is retained. In this paper, we proposed a more effective feature extraction method (i.e., HOG-LP) to overcome the drawbacks of general HOG feature extraction for crossing cyclist detection. On one hand, an improved light/non-overlap sampling method is proposed to speed up HOG feature extraction; on the other hand, pyramid sampling is utilized to extract additional global features in different scale spaces in order to retain more information for high classification accuray. With efficient feature extraction, a linear SVM classifier is used to further increase the detection speed. The experimental results tested on urban traffic videos show the effectiveness of the proposed method on crossing cyclist detection.
Date of Conference: 07-09 July 2010
Date Added to IEEE Xplore: 23 August 2010
ISBN Information:
Conference Location: Jinan, China

I. Introduction

Recently, vision based cyclist detection is comprehensively studied to reduce cyclist-motor crashes. The cyclists are as fragile as pedestrians in traffic accidents and they are more easily to be highly injured and even killed in traffic accidents due to their higher moving speed [1]. Moreover, cyclists occupy a large proportion in urban traffic, therefore it is urgent to develop some active protection techniques to protect the cyclists.

References

References is not available for this document.