An immunological approach to raising alarms in video surveillance
Contribuinte(s) |
Aizawa, Kiyoharu Nakamura, Yuichi Satoh, Shin’ichi |
---|---|
Data(s) |
01/01/2004
|
Resumo |
Inspired by the human immune system, and in particular the negative selection algorithm, we propose a learning mechanism that enables the detection of abnormal activities. Three types of detectors for detecting abnormal activity are developed using negative selection. Tracks gathered by people's movements in a room are used for experimentation and results have shown that the classifier is able to discriminate abnormal from normal activities in terms of both trajectory and time spent at a location.<br /> |
Identificador | |
Idioma(s) |
eng |
Publicador |
Springer-Verlag |
Relação |
http://dro.deakin.edu.au/eserv/DU:30044664/venkatesh-immunological-evidence-2004.pdf http://dro.deakin.edu.au/eserv/DU:30044664/venkatesh-immunologicalapproach-2004.pdf http://dx.doi.org/10.1007/978-3-540-30543-9_11 |
Direitos |
2004, Springer-Verlag Berlin Heidelberg |
Palavras-Chave | #abnormal activity #sensor #immune system |
Tipo |
Book Chapter |