Traffic sign detection from video: A fast approach with tracking | IEEE Conference Publication | IEEE Xplore

Traffic sign detection from video: A fast approach with tracking


Abstract:

This paper proposes a fast approach for traffic sign detection from video. First, we modify the image-based detector HHVCas to improve its accuracy and speed, then apply ...Show More

Abstract:

This paper proposes a fast approach for traffic sign detection from video. First, we modify the image-based detector HHVCas to improve its accuracy and speed, then apply it to video-based detection with further acceleration by tracking. For the image-based detector, by optimizing the parameters in the cascade using an unsupervised approach, we achieve performance comparable to the state-of-the-art while keeping the speed advantage. Parallelizing some steps in the HHVCas detector leads to 1.5× speedup and 20 fps detection. In video, the detector achieves 2.8× speedup and performs 35 fps by tracking every other frame. It also obtains significant precision increase by 5~8% at high recall when exploiting temporal coherence of results in multiple frames.
Date of Conference: 03-06 November 2015
Date Added to IEEE Xplore: 09 June 2016
ISBN Information:
Electronic ISSN: 2327-0985
Conference Location: Kuala Lumpur, Malaysia

References

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