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

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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 ◽

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) ◽

10.1109/avss.2014.6918677 ◽

2014 ◽

Cited By ~ 1

Author(s):

Trung Dung Do ◽

Ly Vu ◽

Nguyen Van Huan ◽

Hale Kim

Keyword(s):

Object Detection ◽

Hough Forests

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Autonomous multi-scale object detection with hough forests

2014 IEEE International Conference on Image Processing (ICIP) ◽

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 ◽

10.5244/c.26.40 ◽

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 ◽

10.1109/tpami.2011.70 ◽

2011 ◽

Vol 33 (11) ◽

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 ◽

pp. 386-393 ◽

Cited By ~ 1

Author(s):

Markus Mühling ◽

Ralph Ewerth ◽

Bing Shi ◽

Bernd Freisleben

Keyword(s):

Object Detection ◽

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 ◽

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

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