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학술대회 Heterogeneous Data based Danger Detection for Public Safety
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저자
박현호, 권은정, 정의석, 이현우, 이용태
발행일
201801
출처
International Conference on Consumer Electronics (ICCE) 2018, pp.1-2
DOI
https://dx.doi.org/10.1109/ICCE.2018.8326323
협약과제
18HR1800, 다중로그 기반 멀티모달 데이터융합 분석 및 상황 대응 플랫폼 기술 개발, 이용태
초록
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 제안 키워드
Closed Circuit Television(CCTV), Heterogeneous data, Public safety, Wearable device, danger detection, multiple devices