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Pedestrian detection in a crowd is a very challenging issue.
Edge and curve detection for visual scene analysis
Azriel Rosenfeld and Mark Thurston · 1971
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David G Lowe · 2004
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Paul Viola and Michael J Jones · 2004
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Integral channel features
Piotr Dollár, Zhuowen Tu, Pietro Perona, and Serge Belongie · 2009
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Multi-cue pedestrian classification with partial occlusion handling
Markus Enzweiler, Angela Eigenstetter, Bernt Schiele, and Dariu M Gavrila · 2010
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Pedestrian detection: An evaluation of the state of the art
Piotr Dollar, Christian Wojek, Bernt Schiele, and Pietro Perona · 2012
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Are we ready for autonomous driving? the kitti vision benchmark suite
Andreas Geiger, Philip Lenz, and Raquel Urtasun · 2012
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A discriminative deep model for pedestrian detection with occlusion handling
Wanli Ouyang and Xiaogang Wang · 2012
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Handling occlusions with franken-classifiers
Markus Mathias, Rodrigo Benenson, Radu Timofte, and Luc Van Gool · 2013
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Optimized pedestrian detection for multiple and occluded people
Sitapa Rujikietgumjorn and Robert T Collins · 2013
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Selective search for object recognition
Jasper RR Uijlings, Koen EA Van De Sande, Theo Gevers, and Arnold WM Smeulders · 2013
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Fast feature pyramids for object detection
Piotr Dollár, Ron Appel, Serge Belongie, and Pietro Perona · 2014
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Rich feature hierarchies for accurate object detection and semantic segmentation
Ross Girshick, Jeff Donahue, Trevor Darrell, and Jitendra Malik · 2014
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Local decorrelation for improved detection
J Han, W Nam, and P Dollar · 2014
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Very deep convolutional networks for large-scale image recognition
Karen Simonyan and Andrew Zisserman · 2014
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Fast r-cnn
Ross Girshick · 2015
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Delving deep into rectifiers: Surpassing human-level performance on imagenet classification
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2015
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Faster r-cnn: Towards real-time object detection with region proposal networks
Shaoqing Ren, Kaiming He, Ross Girshick, and Jian Sun · 2015
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Imagenet large scale visual recognition challenge
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Deep learning strong parts for pedestrian detection
Yonglong Tian, Ping Luo, Xiaogang Wang, and Xiaoou Tang · 2015
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Filtered channel features for pedestrian detection
Shanshan Zhang, Rodrigo Benenson, Bernt Schiele, et al · 2015
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A unified multi-scale deep convolutional neural network for fast object detection
Zhaowei Cai, Quanfu Fan, Rogerio S Feris, and Nuno Vasconcelos · 2016
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The cityscapes dataset for semantic urban scene understanding
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Deep residual learning for image recognition
What can help pedestrian detection?
Jiayuan Mao, Tete Xiao, Yuning Jiang, and Zhimin Cao · 2017
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Yolo9000: Better, faster, stronger
Joseph Redmon and Ali Farhadi · 2017
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Citypersons: A diverse dataset for pedestrian detection
Shanshan Zhang, Rodrigo Benenson, and Bernt Schiele · 2017
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Multi-label learning of part detectors for heavily occluded pedestrian detection
Chunluan Zhou and Junsong Yuan · 2017
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Relation networks for object detection
Han Hu, Jiayuan Gu, Zheng Zhang, Jifeng Dai, and Yichen Wei · 2018
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Composition loss for counting, density map estimation and localization in dense crowds
Haroon Idrees, Muhmmad Tayyab, Kishan Athrey, Dong Zhang, Somaya Al-Maadeed, Nasir Rajpoot, and Mubarak Shah · 2018
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Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Individualness and determinantal point processes for pedestrian detection
Donghoon Lee, Geonho Cha, Ming-Hsuan Yang, and Songhwai Oh · 2016
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R-fcn: Object detection via region-based fully convolutional networks
Yi Li, Kaiming He, Jian Sun, et al · 2016
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Ssd: Single shot multibox detector
Wei Liu, Dragomir Anguelov, Dumitru Erhan, Christian Szegedy, Scott Reed, Cheng-Yang Fu, and Alexander C Berg · 2016
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You only look once: Unified, real-time object detection
Joseph Redmon, Santosh Divvala, Ross Girshick, and Ali Farhadi · 2016
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End-to-end people detection in crowded scenes
Russell Stewart, Mykhaylo Andriluka, and Andrew Y Ng · 2016
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Is faster r-cnn doing well for pedestrian detection?
Liliang Zhang, Liang Lin, Xiaodan Liang, and Kaiming He · 2016
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Acquisition of localization confidence for accurate object detection
Borui Jiang, Ruixuan Luo, Jiayuan Mao, Tete Xiao, and Yuning Jiang · 2018
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Receptive field block net for accurate and fast object detection
Songtao Liu, Di Huang, and andYunhong Wang · 2018
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Learning efficient single-stage pedestrian detectors by asymptotic localization fitting
Wei Liu, Shengcai Liao, Weidong Hu, Xuezhi Liang, and Xiao Chen · 2018
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Iterative crowd counting
Viresh Ranjan, Hieu Le, and Minh Hoai · 2018
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Crowdhuman: A benchmark for detecting human in a crowd
Shuai Shao, Zijian Zhao, Boxun Li, Tete Xiao, Gang Yu, Xiangyu Zhang, and Jian Sun · 2018
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Small-scale pedestrian detection based on topological line localization and temporal feature aggregation
Tao Song, Leiyu Sun, Di Xie, Haiming Sun, and Shiliang Pu · 2018
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Improving object localization with fitness nms and bounded iou loss
Lachlan Tychsen-Smith and Lars Petersson · 2018
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Repulsion loss: Detecting pedestrians in a crowd
Xinlong Wang, Tete Xiao, Yuning Jiang, Shuai Shao, Jian Sun, and Chunhua Shen · 2018
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Occlusion-aware r-cnn: Detecting pedestrians in a crowd
Shifeng Zhang, Longyin Wen, Xiao Bian, Zhen Lei, and Stan Z Li · 2018
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Occluded pedestrian detection through guided attention in cnns
Shanshan Zhang, Jian Yang, and Bernt Schiele · 2018
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Bi-box regression for pedestrian detection and occlusion estimation
Chunluan Zhou and Junsong Yuan · 2018
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