Determining Vehicle Turn Counts at Multiple Intersections by Separated Vehicle Classes Using CNNs
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[1] Shaogang Gong,et al. Feature Mining for Localised Crowd Counting , 2012, BMVC.
[2] Luiz Eduardo Soares de Oliveira,et al. PKLot - A robust dataset for parking lot classification , 2015, Expert Syst. Appl..
[3] G. N. Swamy,et al. Vehicle detection and counting based on color space model , 2015, 2015 International Conference on Communications and Signal Processing (ICCSP).
[5] Fabio Tozeto Ramos,et al. Simple online and realtime tracking , 2016, 2016 IEEE International Conference on Image Processing (ICIP).
[6] Srinivas S. Kruthiventi,et al. CrowdNet: A Deep Convolutional Network for Dense Crowd Counting , 2016, ACM Multimedia.
[7] Ryuzo Okada,et al. COUNT Forest: CO-Voting Uncertain Number of Targets Using Random Forest for Crowd Density Estimation , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[8] Ali Farhadi,et al. You Only Look Once: Unified, Real-Time Object Detection , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[9] T. Başar,et al. A New Approach to Linear Filtering and Prediction Problems , 2001 .
[10] Noboru Ohnishi,et al. A computer vision based vehicle detection and counting system , 2016, 2016 8th International Conference on Knowledge and Smart Technology (KST).
[11] 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.
[12] C. Pornpanomchai,et al. Vehicle detection and counting from a video frame , 2008, 2008 International Conference on Wavelet Analysis and Pattern Recognition.
[13] Saturnino Maldonado-Bascón,et al. Extremely Overlapping Vehicle Counting , 2015, IbPRIA.
[14] Antoni B. Chan,et al. Wide-Area Crowd Counting via Ground-Plane Density Maps and Multi-View Fusion CNNs , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[15] Qijun Chen,et al. Revisiting Perspective Information for Efficient Crowd Counting , 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[16] Xiangjian He,et al. PDANet: Pyramid Density-aware Attention Net for Accurate Crowd Counting , 2020, ArXiv.
[17] Larry S. Davis,et al. Multiple vehicle detection and tracking in hard real-time , 1996, Proceedings of Conference on Intelligent Vehicles.
[18] Ross B. Girshick,et al. Fast R-CNN , 2015, 1504.08083.
[19] Shenghua Gao,et al. Single-Image Crowd Counting via Multi-Column Convolutional Neural Network , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[20] Daniel Oñoro-Rubio,et al. Towards Perspective-Free Object Counting with Deep Learning , 2016, ECCV.
[21] Pavel Zemcík,et al. Real-Time Pose Estimation Piggybacked on Object Detection , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[22] Yi Li,et al. R-FCN: Object Detection via Region-based Fully Convolutional Networks , 2016, NIPS.
[23] Pan Zhou,et al. Enhanced 3D convolutional networks for crowd counting , 2019, BMVC.
[24] Trevor Darrell,et al. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation , 2013, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[25] Jenq-Neng Hwang,et al. CityFlow: A City-Scale Benchmark for Multi-Target Multi-Camera Vehicle Tracking and Re-Identification , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[26] Dietrich Paulus,et al. Simple online and realtime tracking with a deep association metric , 2017, 2017 IEEE International Conference on Image Processing (ICIP).
[27] L. Davis,et al. Real-time multiple vehicle detection and tracking from a moving vehicle , 2000, Machine Vision and Applications.
[28] Jian Sun,et al. Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition , 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[29] Paul A. Viola,et al. Fast Multi-view Face Detection , 2003 .
[30] Winston H. Hsu,et al. Drone-Based Object Counting by Spatially Regularized Regional Proposal Network , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[31] Shaogang Gong,et al. Cumulative Attribute Space for Age and Crowd Density Estimation , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.