Real-time pedestrian warning system on highway using deep learning methods
暂无分享,去创建一个
[1] Kaiming He,et al. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[2] Jean-Luc Dugelay,et al. Learned vs. Hand-Crafted Features for Pedestrian Gender Recognition , 2015, ACM Multimedia.
[3] Zhu Fei. An integrated Optimized Traffic Monitoring System , 2010 .
[4] Yury Vizilter,et al. Pedestrian detection in video surveillance using fully convolutional YOLO neural network , 2017, Optical Metrology.
[5] Trevor Darrell,et al. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation , 2013, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[6] Wei Liu,et al. SSD: Single Shot MultiBox Detector , 2015, ECCV.
[7] Ming-Hsuan Yang,et al. Object Tracking Benchmark , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[8] Mario Fritz,et al. Ask Your Neurons: A Neural-Based Approach to Answering Questions about Images , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[9] Jian Sun,et al. Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition , 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[10] Bernt Schiele,et al. Ten Years of Pedestrian Detection, What Have We Learned? , 2014, ECCV Workshops.
[11] Bill Triggs,et al. Histograms of oriented gradients for human detection , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[12] Marc Van Droogenbroeck,et al. ViBE: A powerful random technique to estimate the background in video sequences , 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.
[13] Rob Fergus,et al. Visualizing and Understanding Convolutional Networks , 2013, ECCV.
[14] Guigang Zhang,et al. Deep Learning , 2016, Int. J. Semantic Comput..
[15] Qi Tian,et al. Scalable Person Re-identification: A Benchmark , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[16] Liang Lin,et al. Is Faster R-CNN Doing Well for Pedestrian Detection? , 2016, ECCV.
[17] Ross B. Girshick,et al. Fast R-CNN , 2015, 1504.08083.
[18] Yann LeCun,et al. Pedestrian Detection with Unsupervised Multi-stage Feature Learning , 2012, 2013 IEEE Conference on Computer Vision and Pattern Recognition.