Object detection

Results: 550



#Item
81Feature detection / Artificial intelligence / Face recognition / Learning / Surveillance / Pattern recognition / FERET / Facial recognition system / ViolaJones object detection framework / Histogram of oriented gradients

Difficult Detection: A Comparison of Two Different Approaches to Eye Detection for Unconstrained Environments Walter J. Scheirer1,2 Anderson Rocha3

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Source URL: vast.uccs.edu

Language: English - Date: 2010-10-23 12:03:48
82Robotics / Artificial intelligence / Business / Computer vision / Robot control / Robot kinematics / Outline of object recognition / Motion planning / 3D single-object recognition / Pose / Robot / 3D scanner

Real-Time Object Detection, Localization and Verification for Fast Robotic Depalletizing

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Source URL: www.ais.uni-bonn.de

Language: English - Date: 2015-08-03 16:32:04
83Feature detection / Pedestrian detection / Surveillance / Integral Channel Features / ViolaJones object detection framework

Detector Ensemble based on False Positive Mining for Pedestrian Detection Yuki Suzuki Graduate School of Info. Sci., Nagoya University, Japan Daisuke Deguchi

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Source URL: www.murase.m.is.nagoya-u.ac.jp

Language: English - Date: 2015-11-10 07:42:49
84Machine learning / Artificial intelligence / Learning / Image processing / Feature detection / K-nearest neighbors algorithm / Statistical classification / Multiple kernel learning / Kernel / Image segmentation / Outline of object recognition / Positive-definite kernel

570 IEEE TRANSACTIONS ON IMAGE PROCESSING, VOL. 20, NO. 2, FEBRUARY 2011 Contextual Object Localization With Multiple Kernel Nearest Neighbor

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Source URL: eceweb.ucsd.edu

Language: English - Date: 2015-07-31 19:00:27
85Computer 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
86Face 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
87Face 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
88Feature detection / Histogram of oriented gradients / Tensor / Feature / Outline of object recognition / Orientation / Structure tensor / Convolutional neural network / Descriptor

Combining gradient histograms using orientation tensors for human action recognition Eder A. Perez,Virg´ınia F. Mota, Luiz Maur´ılio Maciel, Dhiego Sad, Marcelo B. Vieira Universidade Federal de Juiz de Fora - MG - B

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Source URL: www.gcg.ufjf.br

Language: English - Date: 2016-07-25 19:26:21
89Feature 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
90Initial and terminal objects / Nothing / Graph / Node / Feature detection / Computer vision

Exploiting Repetitive Object Patterns for Model Compression and Completion Luciano Spinello1,2 , Rudolph Triebel2 , Dizan Vasquez3 , Kai O. Arras1 , and Roland Siegwart2 1 2

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

Language: English - Date: 2010-08-06 03:44:42
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