CNN features with bi-directional LSTM for real-time anomaly detection in surveillance networks
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-020-09406-3.pdf
Reference41 articles.
1. Adam A, Rivlin E, Shimshoni I, Reinitz D (2008) Robust real-time unusual event detection using multiple fixed-location monitors. IEEE Trans Pattern Anal Mach Intell 30:555–560
2. Al Ridhawi I, Otoum S, Aloqaily M, Jararweh Y, Baker T (2020) Providing secure and reliable communication for next generation networks in smart cities. Sustain Cities Soc 56:102080
3. Al-Smadi M, Qawasmeh O, Al-Ayyoub M, Jararweh Y, Gupta B (2018) Deep recurrent neural network vs. support vector machine for aspect-based sentiment analysis of Arabic hotels’ reviews. J Comput Sci 27:386–393
4. Alsmirat MA, Obaidat I, Jararweh Y, Al-Saleh M (2017) A security framework for cloud-based video surveillance system. Multimed Tools Appl 76:22787–22802
5. Benezeth Y, Jodoin P-M, Saligrama V, Rosenberger C (2009) Abnormal events detection based on spatio-temporal co-occurences. In: 2009 IEEE conference on computer vision and pattern recognition, pp 2458–2465
Cited by 140 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. A Hybrid Approach to Improve the Video Anomaly Detection Performance of Pixel- and Frame-Based Techniques Using Machine Learning Algorithms;Computation;2024-01-24
2. Anomaly Detection in IoT: Recent Advances, AI and ML Perspectives and Applications;Artificial Intelligence;2024-01-17
3. Edge-Computing-Enabled Abnormal Activity Recognition for Visual Surveillance;Electronics;2024-01-05
4. Channel Attention-Based Approach with Autoencoder Network for Human Action Recognition in Low-Resolution Frames;International Journal of Intelligent Systems;2024-01-04
5. Effective Anomaly Identification in Surveillance Videos Based on Adaptive Recurrent Neural Network;Journal of Electrical Engineering & Technology;2024-01-02
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3