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Encouraged by the recent progress in pedestrian detection, we investigate the gap between current state-of-the-art methods and the "perfect single frame detector".
Histograms of oriented gradients for human detection
N. Dalal and B. Triggs · 2005
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The blur effect: Perception and estimation with a new no-reference perceptual blur metric
Crete-Roffet F., Dolmiere T., Ladret P., and Nicolas M · 2007
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A mobile vision system for robust multi-person tracking
A. Ess, B. Leibe, K. Schindler, and L. Van Gool · 2008
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A performance evaluation of single and multi-feature people detection
C. Wojek and B. Schiele · 2008
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Integral channel features
P. Dollár, Z. Tu, P. Perona, and S. Belongie · 2009
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Monocular pedestrian detection: Survey and experiments
M. Enzweiler and D. M. Gavrila · 2009
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Pedestrian detection: An evaluation of the state of the art
P. Dollár, C. Wojek, B. Schiele, and P. Perona · 2012
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Are we ready for autonomous driving? the kitti vision benchmark suite
A. Geiger, P. Lenz, and R. Urtasun · 2012
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Diagnosing error in object detectors
D. Hoiem, Y. Chodpathumwan, and Q. Dai · 2012
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Seeking the strongest rigid detector
R. Benenson, M. Mathias, T. Tuytelaars, and L. Van Gool · 2013
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Single-pedestrian detection aided by multi-pedestrian detection
W. Ouyang and X. Wang · 2013
Cited alongside, same era.
Exploring weak stabilization for motion feature extraction
D. Park, C. L. Zitnick, D. Ramanan, and P. Dollár · 2013
Cited alongside, same era.
Analyzing the performance of multilayer neural networks for object recognition
P. Agrawal, R. Girshick, and J. Malik · 2014
Cited alongside, same era.
Ten years of pedestrian detection, what have we learned?
R. Benenson, M. Omran, J. Hosang, , and B. Schiele · 2014
Cited alongside, same era.
Local decorrelation for improved detection
W. Nam, P. Dollár, and J. H. Han · 2014
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Strengthening the effectiveness of pedestrian detection with spatially pooled features
S. Paisitkriangkrai, C. Shen, and A. van den Hengel · 2014
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Informed haar-like features improve pedestrian detection
S. Zhang, C. Bauckhage, and A. B. Cremers · 2014
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Fast R-CNN
R. Girshick · 2015
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Taking a deeper look at pedestrians
J. Hosang, M. Omran, R. Benenson, and B. Schiele · 2015
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Pedestrian detection aided by deep learning semantic tasks
Y. Tian, P. Luo, X. Wang, and X. Tang · 2015
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Fast feature pyramids for object detection
P. Dollár, R. Appel, S. Belongie, and P. Perona · 2014
Cited alongside, same era.
Rich feature hierarchies for accurate object detection and semantic segmentation
R. Girshick, J. Donahue, T. Darrell, and J. Malik · 2014
Cited alongside, same era.
Exploring human vision driven features for pedestrian detection
S. Zhang, C. Bauckhage, D. A. Klein, and A. B. Cremers · 2015
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Filtered channel features for pedestrian detection
S. Zhang, R. Benenson, and B. Schiele · 2015
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