Anomaly Detection Based on Local Nearest Neighbor Distance Descriptor in Crowded Scenes

We propose a novel local nearest neighbor distance (LNND) descriptor for anomaly detection in crowded scenes. Comparing with the commonly used low-level feature descriptors in previous works, LNND descriptor has two major advantages. First, LNND descriptor efficiently incorporates spatial and tempor...

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Detalles Bibliográficos
Autores principales: Hu, Xing, Hu, Shiqiang, Zhang, Xiaoyu, Zhang, Huanlong, Luo, Lingkun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2014
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4106157/
https://www.ncbi.nlm.nih.gov/pubmed/25105164
http://dx.doi.org/10.1155/2014/632575

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4106157/
https://www.ncbi.nlm.nih.gov/pubmed/25105164
http://dx.doi.org/10.1155/2014/632575

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