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Spatiotemporal Anomaly Detection Using Deep Learning for Real-Time Video Surveillance
IEEE Transactions on Industrial Informatics, 2020Rapid developments in urbanization and autonomous industrial environments have augmented and expedited the need for intelligent real-time video surveillance.
Rashmika Nawaratne +3 more
semanticscholar +1 more source
Design and Development of Cost-Effective Child Surveillance System using Computer Vision Technology
2022 International Conference on Recent Trends in Microelectronics, Automation, Computing and Communications Systems (ICMACC), 2022The project's primary goal is to ensure child surveillance, continuous monitor and alert system for safety. Pre-defined navigation is one of the primary challenges in the robotic industry. Many technologies have been developed to overcome these problems.
Vedavyas Peddiraju +3 more
semanticscholar +1 more source
A Review Paper on Real-Time Video Analysis in Dense Environment for Surveillance System
2022 International Conference on Fourth Industrial Revolution Based Technology and Practices (ICFIRTP), 2022Dense environmental conditions such as snow, fog, lightning, heavy rain, and darkness drastically lower the quality of outdoor surveillance videos. The primary functions of video surveillance systems in crowded environments have received significant ...
Himanshu Tyagi +2 more
semanticscholar +1 more source
Unsupervised Video Surveillance
2011This paper addresses the problem of automatically learning common behaviors from long time observations of a scene of interest, with the purpose of classifying actions and, possibly, detecting anomalies. Unsupervised learning is used as an effective way to extract information from the scene with a very limited intervention of the user.
NOCETI, NICOLETTA, ODONE, FRANCESCA
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Knowledge-Based Systems, 2020
The capability of distinguishing between small objects when manipulated with hand is essential in many fields, especially in video surveillance. To date, the recognition of such objects in images using Convolutional Neural Networks (CNNs) remains a ...
Francisco Pérez-Hernández +5 more
semanticscholar +1 more source
The capability of distinguishing between small objects when manipulated with hand is essential in many fields, especially in video surveillance. To date, the recognition of such objects in images using Convolutional Neural Networks (CNNs) remains a ...
Francisco Pérez-Hernández +5 more
semanticscholar +1 more source
Proceedings of the 5th Workshop on Middleware and Applications for the Internet of Things, 2018
In public video surveillance, there is an inherent conflict between public safety goals and privacy needs of citizens. Generally, societies tend to decide on middleground solutions that sacrifice neither safety nor privacy goals completely. In this paper, we propose an alternative to existing approaches that rely on cloud-based video analysis.
Martin Grambow +2 more
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In public video surveillance, there is an inherent conflict between public safety goals and privacy needs of citizens. Generally, societies tend to decide on middleground solutions that sacrifice neither safety nor privacy goals completely. In this paper, we propose an alternative to existing approaches that rely on cloud-based video analysis.
Martin Grambow +2 more
openaire +1 more source
VTrack: Video analytics for automatic video-surveillance
2011 8th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), 2011Summary form only given. TENCON delegates are invited to attend the following tutorial sessions, free of charge, which will be held at the USC Engineering Audio Visual Room, University of San Carlos - Talamban Campus on November 19, 2012. Tutorial 1: Recent Advances in Robotics and Emerging Opportunities.
S. de Titta, G. Gera, L. Marcenaro
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Applications and Challenges in Video Surveillance via Drone: A Brief Survey
Information and Communication Technology Convergence, 2020Our society is moving quickly towards smart homes and smart cities, requiring more and more deployment of Internet of Things (IoT) devices. To achieve smart urbanization, continuous surveillance is necessary.
Naqqash Dilshad +3 more
semanticscholar +1 more source
2007 IEEE Conference on Advanced Video and Signal Based Surveillance, 2007
Surveillance video is used in two key modes, watching for known threats in real-time and searching for events of interest after the fact. Typically, real-time alerting is a localized function, e.g. airport security center receives and reacts to a "perimeter breach alert", while investigations often tend to encompass a large number of geographically ...
Arun Hampapur +7 more
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Surveillance video is used in two key modes, watching for known threats in real-time and searching for events of interest after the fact. Typically, real-time alerting is a localized function, e.g. airport security center receives and reacts to a "perimeter breach alert", while investigations often tend to encompass a large number of geographically ...
Arun Hampapur +7 more
openaire +1 more source