NDLI: Performance improvement in complex environment based on ensemble learning algorithm by combining 2D DNF weak classifier

Content Provider	IEEE Xplore Digital Library
Author	Hyeon-Gyu Min Dong-Joong Kang Jong-Hyun Park Dae-Gwang Kim
Copyright Year	2014
Description	Author affiliation: Controlkorea Co. Ltd., Busan, South Korea (Jong-Hyun Park; Dae-Gwang Kim) \|\| Dept. of Mech. Eng., Pusan Nat. Univ., Pusan, South Korea (Hyeon-Gyu Min; Dong-Joong Kang)
Abstract	The object detection method employing the 1D feature has benefit that the calculating speed is fast. However, detection accuracy and performance is low in complex background. Therefore, in this paper, we propose an ensemble learning algorithm that combines 1D feature classifier and 2D DNF cell classifier to improve the performance of object detection in single input image. The reason for selecting 2D DNF classifier is that the classifier is able to classify the object not categorized in traditional weak classifier. And we proposed method to choose the feature for reducing the time of learning. In the experiment, we select the haar-like feature as input of 1D feature, and prove the performance of algorithm for face data.
Starting Page	146
Ending Page	149
File Size	445696
Page Count	4
File Format	PDF
ISSN	20937121
e-ISBN	9788993215076
DOI	10.1109/ICCAS.2014.6987975
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-10-22
Publisher Place	South Korea
Access Restriction	Subscribed
Rights Holder	Institute of Control, Robotics and Systems (ICROS)
Subject Keyword	Training adaboost complex environment object detection Pattern recognition 2D DNF cell classifier
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Further Improvement of AdaBoost Algorithm

A paper currency number recognition based on fast Adaboost training algorithm

Symmetry enhanced adaboost (2010)

An improved face detection classifier based on AdaBoost algorithm

An Improved AdaBoost face detection algorithm based on the weighting parameters of weak classifier

Empirical analysis of AdaBoost algorithms on license plate detection

A Kind of Improved AdaBoost Algorithm

Lut-based adaboost for gender classification (2003)

High-performance on-road vehicle detection with non-biased cascade classifier by weight-balanced training

Performance improvement in complex environment based on ensemble learning algorithm by combining 2D DNF weak classifier

Similar Documents

Further Improvement of AdaBoost Algorithm

A paper currency number recognition based on fast Adaboost training algorithm

Symmetry enhanced adaboost (2010)

An improved face detection classifier based on AdaBoost algorithm

An Improved AdaBoost face detection algorithm based on the weighting parameters of weak classifier

Empirical analysis of AdaBoost algorithms on license plate detection

A Kind of Improved AdaBoost Algorithm

Lut-based adaboost for gender classification (2003)

High-performance on-road vehicle detection with non-biased cascade classifier by weight-balanced training

Performance improvement in complex environment based on ensemble learning algorithm by combining 2D DNF weak classifier