Illumination-aware faster R-CNN for robust multispectral pedestrian detection

作者：

Highlights：

• Six convnet fusion architectures and their adaptations are investigated.

• IAF R-CNN model for multispectral pedestrian detection is proposed.

• An illumination-aware weighting mechanism is introduced.

• A new state-of-the-art result on KAIST Benchmark is reported.

摘要

•Six convnet fusion architectures and their adaptations are investigated.•IAF R-CNN model for multispectral pedestrian detection is proposed.•An illumination-aware weighting mechanism is introduced.•A new state-of-the-art result on KAIST Benchmark is reported.

论文关键词：Multispectral pedestrian detection,Illumination-aware,Gated fusion

论文评审过程：Received 4 January 2018, Revised 25 July 2018, Accepted 11 August 2018, Available online 13 August 2018, Version of Record 23 August 2018.

论文官网地址：https://doi.org/10.1016/j.patcog.2018.08.005