Pedestrian Detection

最新推荐文章于 2021-06-22 11:00:24 发布

转载最新推荐文章于 2021-06-22 11:00:24 发布 · 2.2k 阅读

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#行人检测

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本文介绍了多位研究者在行人检测领域的贡献，包括Shanshan Zhang的Filtered Channel Features方法、Liliang Zhang对Faster R-CNN应用于行人检测的评估及Yonglong Tian利用深度学习进行行人检测的工作。

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原文：http://blog.youkuaiyun.com/guojingjuan/article/details/52688985?locationNum=13&fps=1

1. Shanshan Zhang

源码：https://bitbucket.org/shanshanzhang/code_filteredchannelfeatures/src

Shanshan Zhang, Rodrigo Benenson, Mohamed Omran, Jan Hosang, and Bernt Schiele. How far are we from solving pedestrian detection? (CVPR), 2016.
论文笔记：http://blog.youkuaiyun.com/jacobkong/article/details/55670981

Shanshan Zhang, Rodrigo Benenson, and Bernt Schiele. Filtered channel features for pedestrian detection. (CVPR), 2015.
论文介绍：http://blog.youkuaiyun.com/cv_family_z/article/details/48246491

张姗姗介绍：https://www.mpi-inf.mpg.de/departments/computer-vision-and-multimodal-computing/people/alumni-and-former-members/shanshan-zhang/

2. Liliang Zhang

Is Faster R-CNN Doing Well for Pedestrian Detection?（ECCV）2016
Matlab源码：https://github.com/zhangliliang/RPN_BF/tree/RPN-pedestrian
论文介绍：http://blog.youkuaiyun.com/ture_dream/article/details/53087299

3. Yonglong Tian

http://personal.ie.cuhk.edu.hk/~ty014/
Yonglong Tian, Ping Luo, Xiaogang Wang, and Xiaoou Tang. Pedestrian detection aided by deep learning semantic tasks. (CVPR), 2015.
Yonglong Tian, Ping Luo, XiaogangWang, and Xiaoou Tang. Deep learning strong parts for pedestrian detection. (ICCV), 2015.

4.代码集合doppia code

源码：https://bitbucket.org/rodrigob/doppia
这是一个代码集合，包含如下：
1. Pedestrian detection at 100 frames per second, R. Benenson. CVPR, 2012. 实时的
2. Stixels estimation without depth map computation
3. Fast stixels estimation for fast pedestrian detection
4. Seeking the strongest rigid detector
5. Ten years of pedestrian detection, what have we learned?
6. Face detection without bells and whistles