Efficient pedestrian detection in top-view fisheye images using compositions of perspective view patches

Sheng Ho Chiang, Tsai-Pei Wang*, Yi Fu Chen

*此作品的通信作者

研究成果: Article同行評審

26 引文 斯高帕斯(Scopus)

摘要

Pedestrian detection in images is a topic that has been studied extensively, but existing detectors designed for perspective images do not perform as successfully on images taken with top-view fisheye cameras, mainly due to the orientation variation of people in such images. In our proposed approach, several perspective views are generated from a fisheye image and then concatenated to form a composite image. As pedestrians in this composite image are more likely to be upright, existing detectors designed and trained for perspective images can be applied directly without additional training. We also describe a new method of mapping detection bounding boxes from the perspective views to the fisheye frame. The detection performance on several public datasets compare favorably with state-of-the-art results.

原文English
文章編號104069
頁(從 - 到)1-8
頁數8
期刊Image and Vision Computing
105
DOIs
出版狀態Published - 1月 2021

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