Deep Learning Fusion of RGB and Depth Images for Pedestrian Detection.
Zhixin Guo, Wenzhi Liao, Yifan Xiao, Peter Veelaert, Wilfried R. Philips · Ghent University Academic Bibliography (Ghent University) · 2019
In this paper, we propose an effective method based on the Faster-RCNN structureto combine RGB and depth images for pedestrian detection. During the training stage,we generate a semantic segmentation map from the depth image and use it to refine theconvolutional features extracted from the RGB images. In addition, we acquire moreaccurate region proposals by exploring the perspective projection with the help of depthinformation. Experimental results demonstrate that our proposed method achieves thestate-of-the-art RGBD pedestrian detection performance on KITTI [12] datase