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Affordances in Video Surveillance
2015This paper articulates the concept of affordances use as the building block of an automated video surveillance system which learns and evolves over time. It grounds its arguments on the basis of a visual attention hardware and affordances.
Röning Juha +2 more
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2008 Sixth Indian Conference on Computer Vision, Graphics & Image Processing, 2008
Video is a powerful tool to show various activities but generally we use still images to show a condensed video, which is problematic in viewing and comprehending. Thus, there is a need for a summarized surveillance video. A fundamental goal of any video summarization or synopsis technique with reference to a surveillance video is to reduce the Spatio ...
Vikas Choudhary, Anil K. Tiwari
openaire +1 more source
Video is a powerful tool to show various activities but generally we use still images to show a condensed video, which is problematic in viewing and comprehending. Thus, there is a need for a summarized surveillance video. A fundamental goal of any video summarization or synopsis technique with reference to a surveillance video is to reduce the Spatio ...
Vikas Choudhary, Anil K. Tiwari
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2015
Pervasive usage of video surveillance is rapidly increasing in developed countries. Continuous security threats to public safety demand use of such systems. Contemporary video surveillance systems offer advanced functionalities which threaten the privacy of those recorded in the video.
Mahmood Rajpoot, Qasim +1 more
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Pervasive usage of video surveillance is rapidly increasing in developed countries. Continuous security threats to public safety demand use of such systems. Contemporary video surveillance systems offer advanced functionalities which threaten the privacy of those recorded in the video.
Mahmood Rajpoot, Qasim +1 more
openaire +2 more sources
Attention-Driven Loss for Anomaly Detection in Video Surveillance
IEEE transactions on circuits and systems for video technology (Print), 2020Recent video anomaly detection methods focus on reconstructing or predicting frames. Under this umbrella, the long-standing inter-class data-imbalance problem resorts to the imbalance between foreground and stationary background objects in video anomaly ...
Joey Tianyi Zhou +5 more
semanticscholar +1 more source
Anomaly Detection in Videos for Video Surveillance Applications using Neural Networks
International Conference on Information Security and Cryptology, 2020Security is always a main concern in every domain, due to a rise in crime rate in the crowded event or suspicious lonely areas. Abnormal detection and monitoring have major applications of computer vision to tackle various problems. Due to growing demand
Ruben J Franklin +2 more
semanticscholar +1 more source
Video Surveillance of Medication Intake
2006 International Conference of the IEEE Engineering in Medicine and Biology Society, 2006In the context of the growing proportion of seniors in the western world population and the efforts provided in home care services, we have developed a computer vision system for monitoring medication intake. The system detects automatically medication intake using a single low-cost webcam.
Myriam, Valin +3 more
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Video Surveillance on Mobile Edge Networks—A Reinforcement-Learning-Based Approach
IEEE Internet of Things Journal, 2020Video surveillance systems or Internet of Multimedia Things are playing a more and more important role in our daily life. To obtain useful surveillance information timely and accurately, not only image recognition algorithms but also computing and ...
Haoji Hu +8 more
semanticscholar +1 more source
Sensors, vision and networks: From video surveillance to activity recognition and health monitoring
Journal of Ambient Intelligence and Smart Environments, 2019This paper presents an overview of the state of the art of three different fields with the shared characteristics of making use of a network of sensors, with the possible application of computer vision, signal processing, and machine learning algorithms.
A. Prati, Caifeng Shan, K. Wang
semanticscholar +1 more source
Semantic-Based Surveillance Video Retrieval
IEEE Transactions on Image Processing, 2007Visual surveillance produces large amounts of video data. Effective indexing and retrieval from surveillance video databases are very important. Although there are many ways to represent the content of video clips in current video retrieval algorithms, there still exists a semantic gap between users and retrieval systems.
Weiming, Hu +4 more
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AnomalyNet: An Anomaly Detection Network for Video Surveillance
IEEE Transactions on Information Forensics and Security, 2019Sparse coding-based anomaly detection has shown promising performance, of which the keys are feature learning, sparse representation, and dictionary learning.
Joey Tianyi Zhou +5 more
semanticscholar +1 more source