Reliable pedestrian detection using a deep neural network trained on pedestrian counts
暂无分享,去创建一个
André Kaup | Peter Amon | Andreas Hutter | Sanjukta Ghosh | André Kaup | A. Hutter | P. Amon | Sanjukta Ghosh
[1] Luc Van Gool,et al. A mobile vision system for robust multi-person tracking , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[2] Rob Fergus,et al. Visualizing and Understanding Convolutional Networks , 2013, ECCV.
[3] Anelia Angelova,et al. Pedestrian detection with a Large-Field-Of-View deep network , 2015, 2015 IEEE International Conference on Robotics and Automation (ICRA).
[4] Guigang Zhang,et al. Deep Learning , 2016, Int. J. Semantic Comput..
[5] Xiaogang Wang,et al. Deep Learning Strong Parts for Pedestrian Detection , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[6] Rogério Schmidt Feris,et al. A Unified Multi-scale Deep Convolutional Neural Network for Fast Object Detection , 2016, ECCV.
[7] André Kaup,et al. Pedestrian Counting using Deep Models Trained on Synthetically Generated Images , 2017, VISIGRAPP.
[8] Lu Wang,et al. Pedestrian detection in crowded scenes via scale and occlusion analysis , 2016, 2016 IEEE International Conference on Image Processing (ICIP).
[9] Xiaogang Wang,et al. A discriminative deep model for pedestrian detection with occlusion handling , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[10] Bernt Schiele,et al. Filtered channel features for pedestrian detection , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[11] Pietro Perona,et al. Pedestrian detection: A benchmark , 2009, CVPR.
[12] Paul A. Viola,et al. Detecting Pedestrians Using Patterns of Motion and Appearance , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.
[13] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[14] Trevor Darrell,et al. Caffe: Convolutional Architecture for Fast Feature Embedding , 2014, ACM Multimedia.
[15] David A. McAllester,et al. A discriminatively trained, multiscale, deformable part model , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[16] Jungwon Lee,et al. Fused DNN: A Deep Neural Network Fusion Approach to Fast and Robust Pedestrian Detection , 2016, 2017 IEEE Winter Conference on Applications of Computer Vision (WACV).
[17] Nuno Vasconcelos,et al. Privacy preserving crowd monitoring: Counting people without people models or tracking , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[18] Trevor Darrell,et al. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation , 2013, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[19] 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).
[20] Pietro Perona,et al. Pedestrian Detection: An Evaluation of the State of the Art , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[21] Pietro Perona,et al. Fast Feature Pyramids for Object Detection , 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[22] Dariu Gavrila,et al. Monocular Pedestrian Detection: Survey and Experiments , 2009, IEEE Transactions on Pattern Analysis and Machine Intelligence.