Bag-of-Event-Models based embeddings for detecting anomalies in surveillance videos-Reference-Cited by-同舟云学术

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Bag-of-Event-Models based embeddings for detecting anomalies in surveillance videos

Published:2022-03 Issue: Volume:190 Page:116168
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

S. Chandrakala^ORCID,K. Deepak^ORCID,L.K.P. Vignesh

Funder

SASTRA University

Department of Science and Technology, Ministry of Science and Technology, India

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference61 articles.

1. Trajectory-based surveillance analysis: A survey;Ahmed;IEEE Transactions on Circuits and Systems for Video Technology,2018

2. Detection of global and local motion changes in human crowds;de Almeida;IEEE Transactions on Circuits and Systems for Video Technology,2016

3. Hidden markov models for optical flow analysis in crowds;Andrade,2006

4. Dynamic vision sensors for human activity recognition;Baby,2017

5. Trajectory-based anomalous behaviour detection for intelligent traffic surveillance;Cai;IET Intelligent Transport Systems,2015

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1. TDS-Net: Transformer enhanced dual-stream network for video Anomaly Detection;Expert Systems with Applications;2024-12

2. Motion trajectory reconstruction degree: a key frame selection criterion for surveillance video;Journal of Electronic Imaging;2024-05-08

3. Comparative Analysis of Deep CNN and VGG-16 for Anomaly Detection;2024 Third International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE);2024-04-26

4. Sequential attention mechanism for weakly supervised video anomaly detection;Expert Systems with Applications;2023-11

5. An implementation of intelligent YOLOv3-based anomaly detection model from crowded video scenarios with optimized ensemble pattern extraction;The Imaging Science Journal;2023-09-13

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