ViolaJones object detection framework

Results: 19



#Item
11Computer vision / Artificial intelligence / Face recognition / Machine learning / Face detection / FERET / Facial recognition system / Edge detection / Pattern recognition / Boosting / Feature detection / ViolaJones object detection framework

Face and Eye Detection on Hard Datasets Jon Parris1 , Michael Wilber1 , Brian Heflin2 , Ham Rara3 , Ahmed El-barkouky3 , Aly Farag3 , Javier Movellan4 , Anonymous5 , Modesto Castril´on-Santana6 , Javier Lorenzo-Navarro6

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Source URL: vast.uccs.edu

Language: English - Date: 2011-09-08 17:25:19
12Face recognition / Ensemble learning / Surveillance / Statistical models / Face detection / Boosting / Latent variable / Facial recognition system / ViolaJones object detection framework

Image and Vision Computing–61 Contents lists available at ScienceDirect Image and Vision Computing journal homepage: www.elsevier.com/locate/imavis

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Source URL: ibug.doc.ic.ac.uk

Language: English - Date: 2015-11-12 06:27:17
13Face recognition / Ensemble learning / Boosting / Face detection / Pattern recognition / Eigenface / AdaBoost / Facial recognition system / Linear discriminant analysis / Reliability engineering / K-nearest neighbors algorithm / ViolaJones object detection framework

SUBMITTED FOR PUBLICATION TO: , JUNE 30, Multi-Camera Face Recognition by Reliability-Based Selection

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Source URL: vast.uccs.edu

Language: English - Date: 2007-02-17 09:44:02
14Feature detection / Ensemble learning / Statistical classification / Histogram of oriented gradients / Face recognition / Cascading classifiers / ViolaJones object detection framework / Pedestrian detection / Support vector machine / Edge detection / Alberto Broggi / AdaBoost

Two-Stage Part-Based Pedestrian Detection

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Source URL: cvrr.ucsd.edu

Language: English - Date: 2012-09-25 16:03:40
15Ensemble learning / Statistical classification / Machine learning / AdaBoost / Boosting / Support vector machine / Supervised learning / Receiver operating characteristic / Feature selection / ViolaJones object detection framework / CoBoosting

Feature Mining for Image Classification Piotr Doll´ar1 Zhuowen Tu2 Hai Tao3

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Source URL: pages.ucsd.edu

Language: English - Date: 2007-04-26 14:53:10
16Ensemble learning / AdaBoost / Cascading classifiers / Boosting / Polyp / Supervised learning / Classifier / Linear discriminant analysis / Statistical classification / ViolaJones object detection framework

Probabilistic 3D Polyp Detection in CT Images: The Role of Sample Alignment Zhuowen Tu1 , Xiang Sean Zhou3 , Adrian Barbu2 , Luca Bogoni3 , Dorin Comaniciu2 1 Lab of Neuro Imaging, Dept. of Neurology, UCLA 2 Integrated D

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Source URL: pages.ucsd.edu

Language: English - Date: 2006-03-28 17:53:00
17Feature detection / Integral Channel Features / Pedestrian detection / Image segmentation / AdaBoost / Support vector machine / ViolaJones object detection framework / Histogram of oriented gradients

Pedestrian detection at 100 frames per second Rodrigo Benenson, Markus Mathias, Radu Timofte and Luc Van Gool ESAT-PSI-VISICS/IBBT, Katholieke Universiteit Leuven, Belgium Abstract

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Source URL: europa.informatik.uni-freiburg.de

Language: English - Date: 2012-06-20 17:36:57
18Feature detection / Statistical classification / Face recognition / Pedestrian detection / Surveillance / ViolaJones object detection framework / Cascading classifiers / Support vector machine / Edge detection / Receiver operating characteristic / Histogram of oriented gradients / Computer-aided diagnosis

2013 IEEE Intelligent Vehicles Symposium (IV) June 23-26, 2013, Gold Coast, Australia Design and implementation of a high performance pedestrian detection Antonio Prioletti1 , Paolo Grisleri2 , Mohan M. Trivedi3 and Albe

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Source URL: cvrr.ucsd.edu

Language: English - Date: 2013-07-08 00:37:28
19Machine learning / Parts of speech / Feature detection / Histogram of oriented gradients / Classifier / Lidar / Statistical classification / Pattern recognition / Caltech 101 / ViolaJones object detection framework / Chinese classifier

Visual Classification of Coarse Vehicle Orientation using Histogram of Oriented Gradients Features Paul E. Rybski and Daniel Huber and Daniel D. Morris and Regis Hoffman Abstract— For an autonomous vehicle, detecting a

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Source URL: www.ri.cmu.edu

Language: English - Date: 2010-05-18 15:46:44
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