Image objects detection based on boosting neural network

N. Liang; J.A. Hegt; V.M. Mladenov

doi:10.1109/NEUREL.2010.5644063

Image objects detection based on boosting neural network

N. Liang, J.A. Hegt, V.M. Mladenov

Integrated Circuits

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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Abstract

This paper discusses the problem of object area detection of video frames. The goal is to design a pixel accurate detector for grass, which could be used for object adaptive video enhancement. A boosting neural network is used for creating such a detector. The resulted detector uses both textural features and color features of the frames.

Original language	English
Title of host publication	Proceedings of the 2010 10th Symposium on Neural Network Applications in Electrical Engineering (NEUREL), 23-25 September 2010, Belgrade, Serbia
Place of Publication	Piscataway
Publisher	Institute of Electrical and Electronics Engineers
Pages	206-211
ISBN (Print)	978-1-4244-8821-6
DOIs	https://doi.org/10.1109/NEUREL.2010.5644063
Publication status	Published - 2010

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10.1109/NEUREL.2010.5644063

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title = "Image objects detection based on boosting neural network",

abstract = "This paper discusses the problem of object area detection of video frames. The goal is to design a pixel accurate detector for grass, which could be used for object adaptive video enhancement. A boosting neural network is used for creating such a detector. The resulted detector uses both textural features and color features of the frames.",

author = "N. Liang and J.A. Hegt and V.M. Mladenov",

year = "2010",

doi = "10.1109/NEUREL.2010.5644063",

language = "English",

isbn = "978-1-4244-8821-6",

pages = "206--211",

booktitle = "Proceedings of the 2010 10th Symposium on Neural Network Applications in Electrical Engineering (NEUREL), 23-25 September 2010, Belgrade, Serbia",

publisher = "Institute of Electrical and Electronics Engineers",

address = "United States",

}

Image objects detection based on boosting neural network. / Liang, N.; Hegt, J.A.; Mladenov, V.M.
Proceedings of the 2010 10th Symposium on Neural Network Applications in Electrical Engineering (NEUREL), 23-25 September 2010, Belgrade, Serbia. Piscataway: Institute of Electrical and Electronics Engineers, 2010. p. 206-211.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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T1 - Image objects detection based on boosting neural network

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AU - Hegt, J.A.

AU - Mladenov, V.M.

PY - 2010

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N2 - This paper discusses the problem of object area detection of video frames. The goal is to design a pixel accurate detector for grass, which could be used for object adaptive video enhancement. A boosting neural network is used for creating such a detector. The resulted detector uses both textural features and color features of the frames.

AB - This paper discusses the problem of object area detection of video frames. The goal is to design a pixel accurate detector for grass, which could be used for object adaptive video enhancement. A boosting neural network is used for creating such a detector. The resulted detector uses both textural features and color features of the frames.

U2 - 10.1109/NEUREL.2010.5644063

DO - 10.1109/NEUREL.2010.5644063

M3 - Conference contribution

SN - 978-1-4244-8821-6

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EP - 211

BT - Proceedings of the 2010 10th Symposium on Neural Network Applications in Electrical Engineering (NEUREL), 23-25 September 2010, Belgrade, Serbia

PB - Institute of Electrical and Electronics Engineers

CY - Piscataway

ER -

Image objects detection based on boosting neural network

Abstract

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