Image objects detection based on boosting neural network

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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 languageEnglish
Title of host publicationProceedings of the 2010 10th Symposium on Neural Network Applications in Electrical Engineering (NEUREL), 23-25 September 2010, Belgrade, Serbia
Place of PublicationPiscataway
PublisherInstitute of Electrical and Electronics Engineers
Pages206-211
ISBN (Print)978-1-4244-8821-6
DOIs
Publication statusPublished - 2010

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    Liang, N., Hegt, J. A., & Mladenov, V. M. (2010). Image objects detection based on boosting neural network. In Proceedings of the 2010 10th Symposium on Neural Network Applications in Electrical Engineering (NEUREL), 23-25 September 2010, Belgrade, Serbia (pp. 206-211). Piscataway: Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/NEUREL.2010.5644063