Multi-label convolutional neural network based pedestrian attribute classification

作者：

Highlights：

• Multi-label convolutional neural network for pedestrian attribute classification.

• The proposed MLCNN can simultaneously predict multiple pedestrian attributes.

• Experiments on the PETA database have shown the superiority of the proposed MLCNN.

摘要

•Multi-label convolutional neural network for pedestrian attribute classification.•The proposed MLCNN can simultaneously predict multiple pedestrian attributes.•Experiments on the PETA database have shown the superiority of the proposed MLCNN.

论文关键词：Pedestrian attribute classification,Multi-label classification,Convolutional neural network

论文评审过程：Received 6 October 2015, Revised 3 June 2016, Accepted 16 July 2016, Available online 25 July 2016, Version of Record 20 February 2017.

论文官网地址：https://doi.org/10.1016/j.imavis.2016.07.004