论文标题
在顶级视图图像中使用透视图贴片的构图中有效的行人检测
Efficient Pedestrian Detection in Top-View Fisheye Images Using Compositions of Perspective View Patches
论文作者
论文摘要
图像中的行人检测是一个广泛研究的主题，但是为透视图像设计的现有检测器并没有成功地在使用顶级渔眼摄像机拍摄的图像上执行，这主要是由于这些图像中人员的方向变化。在我们提出的方法中，从鱼眼图像产生了几种透视视图，然后连接形成复合图像。由于此综合图像中的行人更有可能是直立的，因此可以直接应用和训练用于透视图像的现有探测器无需额外的培训。我们还描述了一种从透视视图到鱼眼框架映射检测框的新方法。与最先进的结果相比，几个公共数据集的检测性能是有利的。
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.
