Robust pedestrian detection in thermal infrared imagery using a shape distribution histogram feature and modified sparse representation classification

作者：

Highlights：

• Robust pedestrian detection using the SDH feature and MSRC classifier in infrared imagery.

• Discriminative SDH feature can precisely describe the pedestrian characteristic.

• Robust MSRC classifier is used to classify the pedestrians and non-pedestrians.

摘要

Highlights•Robust pedestrian detection using the SDH feature and MSRC classifier in infrared imagery.•Discriminative SDH feature can precisely describe the pedestrian characteristic.•Robust MSRC classifier is used to classify the pedestrians and non-pedestrians.

论文关键词：Shape distribution histogram (SDH) feature,Modified sparse representation classification (MSRC),Pedestrian detection,Thermal infrared imagery

论文评审过程：Received 10 December 2013, Revised 30 November 2014, Accepted 12 December 2014, Available online 24 December 2014.

论文官网地址：https://doi.org/10.1016/j.patcog.2014.12.013