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Conference Paper
Heterogeneous Data based Danger Detection for Public Safety
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- Authors
- Hyunho Park, Eunjung Kwon, Eui-Suk Jung, Hyun-Woo Lee, Yong-Tae Lee
- Issue Date
- 2018-01
- Citation
- International Conference on Consumer Electronics (ICCE) 2018, pp.1-2
- Publisher
- IEEE
- Language
- English
- Type
- Conference Paper
- Abstract
- In recent days, public safety service attracts attentions because of increasing crime rates. In this paper, heterogeneous data based danger detection (HDDD) mechanism is proposed for reducing crime rates. The HDDD mechanism is a mechanism for detecting dangerous situations (e.g., homicide and violence) based on heterogeneous data that are data gathered from multiple devices such as closed circuit television (CCTV) cameras, smartphones, and wearable devices. The HDDD enables immediate detection of dangerous situations and then reduces crime rates by responding to the dangerous situations.
- KSP Keywords
- Closed Circuit Television(CCTV), Heterogeneous data, Public safety, Wearable device, danger detection, multiple devices