Affective State Based Anomaly Detection in Crowd
To distinguish individuals with dangerous abnormal behaviours from the crowd, human characteristics (e.g., speed and direction of motion, interaction with other people), crowd characteristics (such as flow and density), space available to individuals, etc. must be considered. The paper proposes an a...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
Sciendo
2019-12-01
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Series: | Applied Computer Systems |
Subjects: | |
Online Access: | https://doi.org/10.2478/acss-2019-0017 |