Anomaly detection using edge computing in video surveillance system

DR Patrikar, MR Parate - International Journal of Multimedia Information …, 2022 - Springer
The current concept of smart cities influences urban planners and researchers to provide
modern, secured and sustainable infrastructure and gives a decent quality of life to its …

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 …

Complementary set variational autoencoder for supervised anomaly detection

Y Kawachi, Y Koizumi, N Harada - 2018 IEEE International …, 2018 - ieeexplore.ieee.org
Anomalies have broad patterns corresponding to their causes. In industry, anomalies are
typically observed as equipment failures. Anomaly detection aims to detect such failures as …

Multi-agent-based unsupervised detection of energy consumption anomalies on smart campus

Y Weng, N Zhang, C Xia - IEEE Access, 2018 - ieeexplore.ieee.org
The smart campus is becoming a reality with the advancement of information and
communication technologies. For energy efficiency, it is essential to detect abnormal energy …

Bipoco: Bi-directional trajectory prediction with pose constraints for pedestrian anomaly detection

AM Kanu-Asiegbu, R Vasudevan, X Du - arXiv preprint arXiv:2207.02281, 2022 - arxiv.org
We present BiPOCO, a Bi-directional trajectory predictor with POse COnstraints, for
detecting anomalous activities of pedestrians in videos. In contrast to prior work based on …

Violence detection in surveillance videos using deep learning

MM Moaaz, EH Mohamed - النشرة المعلوماتية في الحاسبات …, 2020‎ - fcihib.journals.ekb.eg
Nowadays computer technologies are flowering especially the artificial intelligence field. It
lives its prosperous years. Recently it closes the gap between humans and machines with …

A regional topic model using hybrid stochastic variational gibbs sampling for real-time video mining

L Tang, L Liu, J Gan - Algorithms, 2018 - mdpi.com
The events location and real-time computational performance of crowd scenes continuously
challenge the field of video mining. In this paper, we address these two problems based on …

An Online HDP Mixture Model for Video Mining

L Tang, L Liu, M Tang, Y Sun - International Journal of …, 2018 - ijpe-online.com
In this paper, we address two problems in video mining: real-time inference and the
automatic decision of the number of activities in videos. To solve these problems, we present …