行人检测综述
涉及论文
主要围绕王晓刚的几篇关于深度学习在行人检测的应用。
Ouyang, W. and X. Wang (2013). “Joint Deep Learning for Pedestrian Detection.” 2056-2063.*
Ouyang, W. and X. Wang (2012). A discriminative deep model for pedestrian detection with occlusion handling. Computer Vision and Pattern Recognition (CVPR), 2012 IEEE Conference on, IEEE.Ouyang, W. and X. Wang (2013). Single-pedestrian detection aided by multi-pedestrian detection. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition.
Walk, S., et al. (2010).New features and insights for pedestrian detection. Computer vision and pattern recognition (CVPR), 2010 IEEE conference on, IEEE.
Zeng, X., et al. (2013). “Multi-stage Contextual Deep Learning for Pedestrian Detection.” 121-128.
主要思路
利用深度学习的方法解决行人检测的Feature extraction, deformation handling, occlusion handling, and classification四个问题进行联合学习的思想,尤其处理occlusion handling遮挡的问题花费的篇幅比较多。
本次笔记主要围绕Joint Deep Learning for Pedestrian Detection这篇文章来进行讨论,其他几篇文章属于其前驱文章,有借鉴内容会详细说。