Boosting with cross-validation based feature selection for pedestrian detection (original) (raw)

Selective integration of local-feature detector by boosting for pedestrian detection

Takio Kurita

Electrical Engineering in Japan, 2011

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Boosting Soft-Margin SVM with Feature Selection for Pedestrian Detection

Takio Kurita

Lecture Notes in Computer Science, 2005

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Pedestrian Detection by Boosting Soft-Margin SVM with Local F eature Selection

Takio Kurita

2005

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Association of AdaBoost and Kernel based machine learning methods for visual pedestrian recognition

L. Leyrit

2008 IEEE Intelligent Vehicles Symposium, 2008

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Local boosted features for pedestrian detection

Alberto Sanfeliu

2009

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Kernel Feature Selection to Improve Generalization Performance of Boosting Classifiers

Takio Kurita

2006

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Pedestrian detection for intelligent transportation systems combining AdaBoost algorithm and support vector machine

lie guo

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Multi-stage Sampling with Boosting Cascades for Pedestrian Detection in Images and Videos

Andrea Prati

Lecture Notes in Computer Science, 2010

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Evaluation of Boosting-SVM and SRM-SVM cascade classifiers in laser and vision-based pedestrian detection

Cristiano Premebida, Oswaldo Ludwig

2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC), 2011

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Selection of Histograms of Oriented Gradients Features for Pedestrian Detection

Takio Kurita

Lecture Notes in Computer Science, 2008

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Active Learning Based Pedestrian Detection in Real Scenes

Jing Li

18th International Conference on Pattern Recognition (ICPR'06), 2006

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Random Forests of Local Experts for Pedestrian Detection

David Vázquez, Javier Marin

2013 IEEE International Conference on Computer Vision, 2013

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On exploration of classifier ensemble synergism in pedestrian detection

Paulo Peixoto, Urbano Nunes, luciano oliveira

… Transportation Systems, IEEE …, 2010

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Pedestrian Detection Using SVM and Multi-Feature Combination

David Fernandez

2006

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Selecting features for object detection using an AdaBoost-compatible evaluation function

Luka Fürst, Sanja Fidler, Aleš Leonardis

Pattern Recognition Letters, 2008

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Real-time visual detection of vehicles and pedestrians with new efficient adaBoost features

Bogdan Stanciulescu, A. Breheret

2008

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Design of pedestrian detectors using combinations of scale spaces and classifiers

Amlan Jyoti Das

Journal of King Saud University - Computer and Information Sciences, 2019

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Cascade of Complementary Features for Fast and Accurate Pedestrian Detection

Ayman Wahba

2010

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Vision-based system for pedestrian recognition using a tuned SVM classifier

Andre Hernandes

2012

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Multi-Cascade of Complementary Features for Fast and Accurate Pedestrian Detection

Mohamed Moustafa

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A pedestrian detector using histograms of oriented gradients and a Support Vector Machine classifier

Mirko Felisa

IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC, 2007

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Detector ensemble based on false positive mining for pedestrian detection

Yasutomo Kawanishi

2015 3rd IAPR Asian Conference on Pattern Recognition (ACPR), 2015

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Pedestrian Detection using Linear SVM Classifier with HOG Features

Nikom Suvonvorn

2018

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Two-stage part-based pedestrian detection

Mohan Trivedi

2012 15th International IEEE Conference on Intelligent Transportation Systems, 2012

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Pedestrian Detection by Using Random Decision Algorithm with Support Vector Machine

sri bala malladi

2017

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Evaluation of optimum path forest classifier for pedestrian detection

Euripedes Nobrega

2015 IEEE International Conference on Robotics and Biomimetics (ROBIO), 2015

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