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

Efficient Pedestrian Detection in Top-View Fisheye Images Using Compositions of Perspective View Patches