Online Growing Neural Gas for Anomaly Detection in Changing Surveillance Scenes

Sun, Qianru; Liu, Hong; Harada, Tatsuya

doi:10.1016/j.patcog.2016.09.016

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Online Growing Neural Gas for Anomaly Detection in Changing Surveillance Scenes

Sun, Q., Liu, H., & Harada, T. (2017). Online Growing Neural Gas for Anomaly Detection in Changing Surveillance Scenes. Pattern Recognition, 64, 187-201. doi:10.1016/j.patcog.2016.09.016.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-002C-8336-3 Version Permalink: https://hdl.handle.net/11858/00-001M-0000-002C-8337-1

Genre: Journal Article

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Creators:
Sun, Qianru¹, Author
Liu, Hong², Author
Harada, Tatsuya², Author

Affiliations:
1Computer Vision and Multimodal Computing, MPI for Informatics, Max Planck Society, Campus E1 4, 66123 Saarbrücken, DE, ou_1116547
2External Organizations, ou_persistent22

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Language(s): eng - English

Dates: Published Online: 2016-10-10Date issued: 2017

Publication Status: Issued

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Identifiers: DOI: 10.1016/j.patcog.2016.09.016
BibTex Citekey: Sun2017

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Title: Pattern Recognition

Other : Pattern Recognit.

Source Genre: Journal

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Publ. Info: New York, NY : Springer

Pages: - Volume / Issue: 64 Sequence Number: - Start / End Page: 187 - 201 Identifier: ISSN: 0031-3203
CoNE: https://pure.mpg.de/cone/journals/resource/954925431363