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Challenges on Large Scale Surveillance Video Analysis
2018
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
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Large scale surveillance video analysis is one of the most important components in the future artificial intelligent city. ...
It is a very challenging but practical system, consists of multiple functionalities such as object detection, tracking, identification and behavior analysis. ...
Conclusion and Future Work In this paper, we introduce several very challenging but practical tasks in large scale surveillance video analysis hosted in NVIDIA AICity Challenge and explain the proposed ...
doi:10.1109/cvprw.2018.00017
dblp:conf/cvpr/FengJWCRG18
fatcat:k6rgabsprvdbzpzsnkkubee2mi
A Large Scale Urban Surveillance Video Dataset for Multiple-Object Tracking and Behavior Analysis
[article]
2020
arXiv
pre-print
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Due to the rapid development of deep learning algorithms in recent years, automatic object tracking and behavior analysis put forward an urgent demand on a large scale well-annotated surveillance video ...
Multiple-object tracking and behavior analysis have been the essential parts of surveillance video analysis for public security and urban management. ...
CONCLUSION In this work, we have proposed a challenging large scale urban surveillance video dataset, one of the largest and most realistic datasets, for object tracking and behavior analysis. ...
arXiv:1904.11784v2
fatcat:uudcrmoq6fdj3o2nuyzipvemza
AI Oriented Large-Scale Video Management for Smart City: Technologies, Standards and Beyond
[article]
2017
arXiv
pre-print
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To practically facilitate deep neural network models in the large-scale video analysis, there are still unprecedented challenges for the large-scale video data management. ...
Deep feature coding, instead of video coding, provides a practical solution for handling the large-scale video surveillance data. ...
Compact Descriptors for Video Analysis The emerging requirements of video analysis facilitate the standardization of large-scale video analysis. ...
arXiv:1712.01432v1
fatcat:7ollwfwufzbpfljdgqp2lodfcm
SmaCCS: Smart Camera Cloud Services - Towards an Intelligent Cloud-based Surveillance System
english
2013
Proceedings of the 10th International Conference on Informatics in Control, Automation and Robotics
english
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., complex automatic video content analysis, are restricted to large scale applications, such as airports or train stations. ...
In this position paper we propose to combine two well-known approaches in order to make Intelligent Video Surveillance applicable and affordable in small to medium-scale scenarios. ...
Some of the ideas are based on a model for large-scale smartphonebased sensor networks that has to cope with similar challenges (Kapadia et al., 2010) . ...
doi:10.5220/0004590902880293
dblp:conf/icinco/TomfordeJHH13
fatcat:mcbmsb6dlzbgbilcjrljmyw3ze
Traffic Surveillance Using Image Recognition on Distributed Platform
2017
International Journal of Science and Research (IJSR)
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Distributed computing is one of the techniques that can be used to efficiently analyze such large amount of data. ...
The major challenges faced with video data are that it's unstructured with high volume. ...
while incorporating the simple, lightweight aspects of a video surveillance algorithm, and makes an insight by adopting blob tracking based video surveillance algorithm for large scale video analytics ...
doi:10.21275/art20172256
fatcat:lppvneqtdzaudh5ynlpvneaery
Smart video surveillance: exploring the concept of multiscale spatiotemporal tracking
2005
IEEE Signal Processing Magazine
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be in front of the camera, and intelligent video surveillance technologies provide activity detection capabilities on video streams while ignoring the identity tracking challenge. ...
Smart video surveillance systems are capable of enhancing situational awareness across multiple scales of space and time. ...
Today's video surveillance systems act as large-scale video recorders, either analog or digital. ...
doi:10.1109/msp.2005.1406476
fatcat:fgvphqwfvjbbdbmwlcacjrjc7q
IBM smart surveillance system (S3): event based video surveillance system with an open and extensible framework
2008
Machine Vision and Applications
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The increasing need for sophisticated surveillance systems and the move to a digital infrastructure has transformed surveillance into a large scale data analysis and management challenge. ...
While the majority of the research and commercial systems have focused on the information extraction aspect of the challenge, very few systems have explored the use of extracted information in the search ...
The IBM Middleware for Large Scale Surveillance (MILS) and Data Management 4.1 The IBM Middleware for Large Scale Surveillance: The IBM Middleware for Large Scale Surveillance (MILS) provides the data ...
doi:10.1007/s00138-008-0153-z
fatcat:tnydfoazdrgxha6hpypbixh3ba
Toward large-scale situation awareness applications on camera networks
2013
2013 IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops)
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Despite technological advances, developing a large-scale situation awareness application still remains a challenge due to the programming complexity, highly dynamic workloads, and latency-sensitive quality ...
To solve the problem, my research topic concerns developing a programming model and a runtime system to support large-scale situation awareness applications on camera networks. ...
PROGRAMMING LARGE-SCALE SITUATION AWARENESS APPLICATIONS One of the biggest challenges in developing large-scale situation awareness applications is the complexity of programming. ...
doi:10.1109/percomw.2013.6529530
dblp:conf/percom/Hong13
fatcat:pbrc2ptnprdgxgh2mwzvs7cdpa
The State of Aerial Surveillance: A Survey
[article]
2022
arXiv
pre-print
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It aims to provide readers with an in-depth systematic review and technical analysis of the current state of aerial surveillance tasks using drones, UAVs and other airborne platforms. ...
The rapid emergence of airborne platforms and imaging sensors are enabling new forms of aerial surveillance due to their unprecedented advantages in scale, mobility, deployment and covert observation capabilities ...
in video analysis. ...
arXiv:2201.03080v2
fatcat:x7o6zgx2x5cwjkz5ftuizll7nu
Video Intelligence as a Component of a Global Security System
[chapter]
2019
IFIP Advances in Information and Communication Technology
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This paper describes the evolution of our research from video analytics to a global security system with focus on the video surveillance component. ...
As number of cameras soars, one could expect the system to leverage the huge amount of data carried through the video streams to provide fast access to video evidences, actionable intelligence for monitoring ...
that took place annually between 2010 and 2015, the ImageNet Large Scale Visual Recognition Challenge (ILSVRC). ...
doi:10.1007/978-3-030-29904-0_10
fatcat:gox5shql3rctxbcgan33rvo4wa
Video Intelligence as a component of a Global Security system
[article]
2022
arXiv
pre-print
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This paper describes the evolution of our research from video analytics to a global security system with focus on the video surveillance component. ...
As number of cameras soars, one could expect the system to leverage the huge amount of data carried through the video streams to provide fast access to video evidences, actionable intelligence for monitoring ...
In 2017, this effort is extended to video with the DAVIS [14] challenge on video object segmentation. ...
arXiv:2201.04349v1
fatcat:q46dhhrzejfrjltvsvgr6hbysu
Analysis control middleware for large-scale video surveillance
2013
2013 10th IEEE International Conference on Advanced Video and Signal Based Surveillance
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Recently the demand for large-scale surveillance systems automated by video analysis technologies has been increased. ...
Recent studies have been made on integrated video analysis middleware for the surveillance field. Tian and Brown [3] proposed a "Smart Surveillance System (S3)" ...
It is therefore, essential to reduce the number of servers to apply video analysis technologies to large-scale surveillance systems. ...
doi:10.1109/avss.2013.6636655
dblp:conf/avss/ArikumaKKSNK13
fatcat:wf6jxibknjhhhfsfysqz4nejaq
An Optimized CNN based Real World Anomaly Detection in Surveillance Videos
2019
VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE
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The main contribution of this research is validation of proposed system for the large scale data and we introduce a new large-scale dataset of 128 hours of videos. ...
Here CNN is used for classifying the activity into normal and abnormal from the surveillance videos based on the fitness function of GA which is used for the selection of optimal MSER feature sets. ...
The main contribution of this research is validation of proposed system for the large scale data and we introduce a new large-scale dataset of 128 hours of videos. ...
doi:10.35940/ijitee.i1074.0789s19
fatcat:uiidfjjaffb3fblhy3o36mscde
S3-R1
2004
Proceedings of the 2004 ACM SIGMM workshop on Effective telepresence - ETP '04
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The increasing need for sophisticated surveillance systems and the move to digital surveillance infrastructure has transformed surveillance into a large scale data analysis and management challenge. ...
While the majority of the research and commercial systems have focused on the information extraction aspect of the challenge, very few systems have explored the use of extracted information in the search ...
Middleware for Large Scale Surveillance (MILS) is a middleware layer which stores the compressed digital video from the VCE on a video management server. ...
doi:10.1145/1026776.1026794
fatcat:hba2r5qmfjgjhfw7akqqxbiqty
Scalable Surveillance Software Architecture
2006
2006 IEEE International Conference on Video and Signal Based Surveillance
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This paper demonstrates a software architecture approach to the construction of large scale surveillance network software and explores the implications for instantiating surveillance algorithms at such ...
a scale. ...
The principal contributions of this paper are: i) a model software architecture for the construction of large scale video surveillance network software, ii) insight into the implications for video surveillance ...
doi:10.1109/avss.2006.101
dblp:conf/avss/DetmoldDFMHM06
fatcat:cc636wvx25hmnjob5b5jvnciou
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