Identification of loitering human behaviour in video surveillance environments

 

Authors
Ratt?, Sylvie
Format
Article
Status
publishedVersion
Description

Loitering is a common behaviour of the elderly people. We goal is develop an artificial intelligence system that automatically detects loitering behaviour in video surveillance environments. The first step to identify this behaviour was used a Generalized Sequential Patterns that detects sequential micro-patterns in the input loitering video sequences. The test phase determines the appropriate percentage of inclusion of this set of micro-patterns in a new input sequence, namely those that are considered to form part of the profile, and then be identified as loitering. The system is dynamic; it obtains micro-patterns on a repetitive basis. During the execution time, the system takes into account the human operator and updates the performance values of loitering in shopping mall. The profile obtained is consistent with what has been documented by experts in this field and is sufficient to focus the attention of the human operator on the surveillance monitor.
Universidad T?cnica Particular de Loja
https://link.springer.com/chapter/10.1007%2F978-3-319-18914-7_54

Publication Year
2015
Language
eng
Topic
IDENTIFICATION
LOITERING
HUMAN
VIDEO
Repository
Repositorio SENESCYT
Get full text
http://repositorio.educacionsuperior.gob.ec/handle/28000/3167
Rights
openAccess
License
openAccess