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Efficient pedestrian detection in top-view fisheye images using compositions of perspective view patches
Image and Vision Computing ( IF 4.7 ) Pub Date : 2020-11-11 , DOI: 10.1016/j.imavis.2020.104069
Sheng-Ho Chiang , Tsaipei Wang , Yi-Fu Chen

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.



中文翻译:

使用透视贴片的组合在顶视图鱼眼图像中进行有效的行人检测

图像中的行人检测是一个已广泛研究的主题,但是设计用于透视图图像的现有检测器在顶视鱼眼镜头拍摄的图像上无法获得理想的效果,这主要是由于此类图像中人的方位变化。在我们提出的方法中,从鱼眼图像中生成几个透视图,然后将其合并以形成合成图像。由于此合成图像中的行人更可能是直立的,因此可以直接应用为透视图图像设计和训练的现有检测器,而无需额外的训练。我们还描述了一种将检测边界框从透视图映射到鱼眼框的新方法。在几个公共数据集上的检测性能可与最新结果相媲美。

更新日期:2020-12-16
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