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Pedestrian detection
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61	Sketch Tokens: A Learned Mid-level Representation for Contour and Object Detection Joseph J. Lim Massachusetts Inst. of Technology C. Lawrence Zitnick Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2013-06-19 12:23:11 Imaging Optics Histogram of oriented gradients Segmentation Object recognition Edge detection Pedestrian detection Feature extraction Image gradient Computer vision Image processing Vision
62	Structured Forests for Fast Edge Detection Piotr Doll´ar Microsoft Research C. Lawrence Zitnick Microsoft Research Add to Reading List Source URL: vision.ucsd.edu Language: English - Date: 2013-10-13 20:52:33 Artificial intelligence Imaging Vision Segmentation Edge detection Pedestrian detection Supervised learning Object recognition Decision tree learning Computer vision Image processing Machine learning
63	Structured Forests for Fast Edge Detection Piotr Doll´ar Microsoft Research C. Lawrence Zitnick Microsoft Research Add to Reading List Source URL: research.microsoft.com Language: English - Date: 2013-10-15 22:53:41 Artificial intelligence Imaging Vision Segmentation Edge detection Pedestrian detection Supervised learning Object recognition Decision tree learning Computer vision Image processing Machine learning
64	Hierarchical Feature Pooling with Structure Learning: A new method for Pedestrian Detection Xiaoyu Wang NEC Labs America Add to Reading List Source URL: cvpr13ws.is.tue.mpg.de Language: English - Date: 2013-06-26 12:59:40 Star Trek Star Trek: The Q Continuum Q
65	11-UL-016 Assessment of the Impact of Color Contrast in the Detection and Recognition of Objects in a Road Environment Add to Reading List Source URL: scholar.lib.vt.edu Language: English - Date: 2012-01-30 18:33:33 Pedestrian detection Contrast Light-emitting diode Architecture Light Optics Photometry Lighting
66	Integrating pedestrian simulation, tracking and event detection for crowd analysis Matthias Butenuth, Florian Burkert Technische Universität München Remote Sensing Technology {matthias.butenuth; Add to Reading List Source URL: www.ipf.kit.edu Language: English - Date: 2012-01-05 09:04:16 Vision Imaging Simulation Optics Feature extraction Video game development Computer vision Pedestrian detection Surveillance
67	Practical 3-D Object Detection Using Category and Instance-level Appearance Models Kate Saenko, Sergey Karayev, Yangqing Jia, Alex Shyr, Allison Janoch, Jonathan Long, Mario Fritz, Trevor Darrell Abstract— Effective ro Add to Reading List Source URL: sergeykarayev.com Language: English - Date: 2015-01-07 04:16:21 Surveillance Segmentation Object recognition Histogram of oriented gradients Part-based models Pedestrian detection Object detection Range segmentation Longuet-Higgins Prize Computer vision Vision Image processing
68	Pedestrian Detection Combining RGB and Dense LIDAR Data Cristiano Premebida, Jo˜ao Carreira, Jorge Batista and Urbano Nunes Abstract— Why is pedestrian detection still very challenging in realistic scenes? How much wo Add to Reading List Source URL: www.eecs.berkeley.edu Language: English - Date: 2014-06-30 01:38:34 Imaging Surveillance Histogram of oriented gradients LIDAR Pedestrian detection Object detection Stereoscopy Object recognition Image processing Computer vision Vision Optics
69	Appendix 3A: Deliverability Strategy[removed]to[removed]February 2013 Add to Reading List Source URL: www.aer.gov.au Language: English - Date: 2013-04-02 21:17:48 Image processing Optics Segmentation Face detection Pedestrian detection Dutch East India Company CNN Volatile organic compound Feature extraction Vision Computer vision Imaging
70	Rich feature hierarchies for accurate object detection and semantic segmentation Ross Girshick Jeff Donahue Trevor Darrell Jitendra Malik UC Berkeley {rbg,jdonahue,trevor,malik}@eecs.berkeley.edu Abstract Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2014-05-10 14:50:49 Image processing Optics Segmentation Face detection Pedestrian detection Dutch East India Company CNN Volatile organic compound Feature extraction Vision Computer vision Imaging