Anomaly detection in road traffic using visual surveillance: A survey

KK Santhosh, DP Dogra, PP Roy - ACM Computing Surveys (CSUR), 2020 - dl.acm.org
Computer vision has evolved in the last decade as a key technology for numerous
applications replacing human supervision. Timely detection of traffic violations and …

[PDF][PDF] Identification of anomaly scenes in videos using graph neural networks

K Masood, MM Al-Sakhnini, W Nawaz… - Comput Mater …, 2023 - researchgate.net
Generally, conventional methods for anomaly detection rely on clustering, proximity, or
classification. With the massive growth in surveillance videos, outliers or anomalies find …

Fire detection using color and motion models

DH Lee, SH Lee, T Byun, NI Cho - IEIE Transactions on Smart …, 2017 - dbpia.co.kr
This paper presents a fire detection algorithm using color and motion models from video
sequences. The proposed method detects change in color and motion of overall regions for …

변분오토인코더를활용한보행자이상궤적탐지

조주연, 강영옥 - 대한공간정보학회지, 2024 - dbpia.co.kr
이동하는 객체의 궤적에서 이상을 탐지하는 것은 안전과 사고예방에 중요한 요소이다. 다양한
유형의 궤적 데이터가 생성되고, 딥러닝 기반의 분석 방법론이 발전하면서 차량, 항공기, 선박 …