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학술대회 A Brief Survey on Contemporary Methods for Anomaly Detection in Videos
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저자
무함마드, 이진하, 이승익, 서범수
발행일
201910
출처
International Conference on Information and Communication Technology Convergence (ICTC) 2019, pp.472-473
DOI
https://dx.doi.org/10.1109/ICTC46691.2019.8939930
협약과제
19HS6300, 실외 무인 경비 로봇을 위한 멀티모달 지능형 정보분석 기술 개발, 신호철
초록
Anomaly detection has stayed among the core topics of research in machine learning and computer vision for decades. Due to its complex nature, limitless possibilities of abnormal cases and the bounded amount of normal examples available, it is still among the popular topics of research. With the increase in surveillance cameras, it is becoming important to have systems which can learn from the vastly available normal data to identify any unusual happenings in the videos. In this paper, an attempt has been made to evaluate and compare the recently introduced such systems. In order to evaluate the methods for implementation as well as their possible applications, we have classified the major papers introduced in last 5 years by the network architectures and the datasets that are used to evaluate these methodologies.
키워드
Anomaly detection, contemporary, survey, video surveillance
KSP 제안 키워드
Computer Vision(CV), Network Architecture, anomaly detection, brief survey, machine Learning, surveillance camera, video surveillance