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Object detection with hough forests using HaarHOG descriptor
2014 International Congress on Technology, Communication and Knowledge (ICTCK)
◽
10.1109/ictck.2014.7033501
◽
2014
◽
Author(s):
Seyyed Reza Tabasi
◽
Mahdi Zarif
Keyword(s):
Object Detection
◽
Hough Forests
Download Full-text
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Class-specific Hough forests for object detection
2009 IEEE Conference on Computer Vision and Pattern Recognition
◽
10.1109/cvpr.2009.5206740
◽
2009
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Cited By ~ 259
Author(s):
Juergen Gall
◽
Victor Lempitsky
Keyword(s):
Object Detection
◽
Hough Forests
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Class-specific Hough forests for object detection
2009 IEEE Conference on Computer Vision and Pattern Recognition
◽
10.1109/cvprw.2009.5206740
◽
2009
◽
Cited By ~ 33
Author(s):
J. Gall
◽
V. Lempitsky
Keyword(s):
Object Detection
◽
Hough Forests
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Full weighting Hough Forests for object detection
2014 11th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)
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10.1109/avss.2014.6918677
◽
2014
◽
Cited By ~ 1
Author(s):
Trung Dung Do
◽
Ly Vu
◽
Nguyen Van Huan
◽
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Keyword(s):
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◽
Hough Forests
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Autonomous multi-scale object detection with hough forests
2014 IEEE International Conference on Image Processing (ICIP)
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10.1109/icip.2014.7025329
◽
2014
◽
Author(s):
Maria Scalzo
◽
Senem Velipasalar
Keyword(s):
Object Detection
◽
Multi Scale
◽
Hough Forests
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Discriminative Hough Forests for Object Detection
Procedings of the British Machine Vision Conference 2012
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10.5244/c.26.40
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2012
◽
Cited By ~ 12
Author(s):
Paul Wohlhart
◽
Samuel Schulter
◽
Martin Köstinger
◽
Peter Roth
◽
Horst Bischof
Keyword(s):
Object Detection
◽
Hough Forests
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Hough Forests for Object Detection, Tracking, and Action Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
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10.1109/tpami.2011.70
◽
2011
◽
Vol 33
(11)
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pp. 2188-2202
◽
Cited By ~ 390
Author(s):
J. Gall
◽
A. Yao
◽
N. Razavi
◽
L. Van Gool
◽
V. Lempitsky
Keyword(s):
Object Detection
◽
Action Recognition
◽
Hough Forests
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Multi-class Object Detection with Hough Forests Using Local Histograms of Visual Words
Computer Analysis of Images and Patterns - Lecture Notes in Computer Science
◽
10.1007/978-3-642-23672-3_47
◽
2011
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pp. 386-393
◽
Cited By ~ 1
Author(s):
Markus Mühling
◽
Ralph Ewerth
◽
Bing Shi
◽
Bernd Freisleben
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Object Detection
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Visual Words
◽
Hough Forests
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Latent-Class Hough Forests for 3D Object Detection and Pose Estimation
Computer Vision – ECCV 2014 - Lecture Notes in Computer Science
◽
10.1007/978-3-319-10599-4_30
◽
2014
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pp. 462-477
◽
Cited By ~ 81
Author(s):
Alykhan Tejani
◽
Danhang Tang
◽
Rigas Kouskouridas
◽
Tae-Kyun Kim
Keyword(s):
Object Detection
◽
Pose Estimation
◽
Latent Class
◽
3D Object
◽
3D Object Detection
◽
Hough Forests
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Class-Specific Hough Forests for Object Detection
Decision Forests for Computer Vision and Medical Image Analysis
◽
10.1007/978-1-4471-4929-3_11
◽
2013
◽
pp. 143-157
◽
Cited By ~ 64
Author(s):
J. Gall
◽
V. Lempitsky
Keyword(s):
Object Detection
◽
Hough Forests
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Using Depth to Extend Randomised Hough Forests for Object Detection and Localisation
2013 International Conference on Digital Image Computing: Techniques and Applications (DICTA)
◽
10.1109/dicta.2013.6691536
◽
2013
◽
Author(s):
Richard Palmer
◽
Geoff West
◽
Tele Tan
Keyword(s):
Object Detection
◽
Hough Forests
Download Full-text
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