Context-aware Pedestrian Detection with Salient Region Self-growing in Far-infrared Images
Hao Sheng, Meiyuan Liu, Yanwei Zheng, Yang Liu · 2018
In this paper, we present a new framework to detect pedestrians in infrared images.The framework consists of a candidate generation module and a classification module, both of which are implemented based on convolution neural network.Specifically, we learned effective segmentation threshold by deep learning methods, and proposed a salient region self-growing algorithm to generate candidates.Besides, we conducted contextaware classification on the candidates to reduce the false positives using cues from the context.We achieved state-of-theart result on a public dataset, which has shown the effectiveness of the proposed method.