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A Survey Of Activity Recognition And Understanding The Behavior In Video Survelliance
[article]
2012
arXiv
pre-print
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It describes techniques that use to define a general set of activities that are applicable to a wide range of scenes and environments in video sequence. ...
This paper presents a review of human activity recognition and behaviour understanding in video sequence. ...
But technical interest in video surveillance has moved from such low-level functions to more complex scene analysis to detect human and/or other object behaviors, i.e., patterns of activities or events ...
arXiv:1207.6774v1
fatcat:zau7izoouffe7livk6zvxrn5sq
A multi-modal highlight extraction scheme for sports videos using an information-theoretic excitability measure
2012
2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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A generic method for sports video highlight selection is presented in this study. ...
Experiments are performed on baseball videos using excitement in the commentators' speech, audio energy, slow motion replay, scene cut density, and motion activity as features. ...
Automatically generating such highlights reliably can thus be very useful. Many approaches towards automatic event detection and summarization in sports videos have been reported in the literature. ...
doi:10.1109/icassp.2012.6288394
dblp:conf/icassp/HasanBSH12
fatcat:sohevomrejb4bbkuzrs4ou3fam
Algorithms for cooperative multisensor surveillance
2001
Proceedings of the IEEE
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Video understanding algorithms have been developed to automatically detect people and vehicles, seamlessly track them using a network of cooperating active sensors, determine their three-dimensional locations ...
in a cluttered environment using a distributed network of active video sensors. ...
linear trajectory and where is a function of the timestamps ( ) on the sequence of processed video frames from which the hypotheses were generated. ...
doi:10.1109/5.959341
fatcat:c4gvuw3pevhcfgm4iefgirwlfe
Automated motion imagery exploitation for surveillance and reconnaissance
2012
Full Motion Video (FMV) Workflows and Technologies for Intelligence, Surveillance, and Reconnaissance (ISR) and Situational Awareness
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The mosaicking tool produces a geo-referenced 2D map from the sequence of video frames. The change detection tool identifies differences between two repeat-pass videos taken of the same terrain. ...
Motion imagery gathered from both manned and unmanned platforms provides surveillance and reconnaissance information that can be used for pre-and post-operation analysis, but these sensors can gather large ...
ACKNOWLEDGEMENTS We would like to thank the Canadian Innovation Commercialization Program (CICP) for support and the Canadian Department of National Defence (DND) as the testing department. ...
doi:10.1117/12.920498
fatcat:ac3fkmvmszgsncuq6yd444bhki
Anomaly Detection in Road Traffic Using Visual Surveillance: A Survey
[article]
2019
arXiv
pre-print
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Since the underlying building block of a typical anomaly detection is learning, we emphasize more on learning methods applied on video scenes. ...
In this paper, we present a survey on relevant visual surveillance related researches for anomaly detection in public places, focusing primarily on roads. ...
Authors of [124] have explored object detection, tracking, scene modeling and activity analysis using video trajectories. ...
arXiv:1901.08292v1
fatcat:qehtkb2imfbmpfahkgsjrx7544
MPEG-4 Authoring Tool Using Moving Object Segmentation and Tracking in Video Shots
2003
EURASIP Journal on Advances in Signal Processing
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An Authoring tool for the MPEG-4 multimedia standard integrated with image sequence analysis algorithms is described. ...
However, the implementation of these capabilities requires a complex authoring process, employing many different competencies from image sequence analysis and encoding of audio/visual/BIFS to the implementation ...
type can be active at a time in the scene (a typical example of this is the viewpoint for a 3D scene; a 3D scene may contain multiple viewpoints or "cameras," but only one can be active at a time). ...
doi:10.1155/s1110865703301052
fatcat:wqtkuquyzvbmrc3wd457kosgny
Security and Surveillance
[chapter]
2011
Visual Analysis of Humans
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A significant application of video analysis and understanding is intelligent surveillance, which aims to interpret automatically human activity and detect unusual events that could pose a threat to public ...
multiple video frames for understanding their spatio-temporal relations. ...
In particular, video analytics can benefit from recent development in computer vision research for intent profiling, non-trajectory based representation in crowded scene analysis, multi-camera network ...
doi:10.1007/978-0-85729-997-0_23
fatcat:lodvka4hu5debd7wiovexhca3u
On-line knowledge- and rule-based video classification system for video indexing and dissemination
2002
Information Systems
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In the proposed system, a real-time scene-change detection proxy performs an initial video-structuring process by splitting a video clip into scenes. ...
Motional, visual and audio features are extracted in real-time for every detected scene by using on-line feature-extraction proxies. ...
At the core of our system, we have developed a general video analysis model in conjunction with various techniques for fast and efficient video content analysis, such as scene-change detection, key frame ...
doi:10.1016/s0306-4379(02)00018-2
fatcat:7hdldelhujbore53qfftnaanb4
SuperVision: Video Content Analysis Engine for Videosurveillance Applications
[chapter]
2011
Video Surveillance
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Video content analysis represents a solution to these problems. Its main purpose is to analyze video streams and alert the operator only when relevant events are detected. ...
The organization of intelligent video surveillance systems is hierarchical and generally starts with object detection, estimates the position of the detected object over time (object tracking) and describes ...
Features of SuperVision The SuperVision system includes many video analysis functions that can be grouped into the following classes: 1. General Video Content Analysis. ...
doi:10.5772/15679
fatcat:qde3mn7cqjfojp3enlaegain4u
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. ...
This article explores the concepts of multiscale spatiotemporal tracking through the use of real-time video analysis, active cameras, multiple object models, and long-term pattern analysis to provide comprehensive ...
STATE-OF-THE-ART IN VIDEO ANALYSIS FOR SURVEILLANCE Video analysis and video surveillance are active areas of research. ...
doi:10.1109/msp.2005.1406476
fatcat:fgvphqwfvjbbdbmwlcacjrjc7q
Real-Time Video Analysis For Intrusion Detection In Indoor Environments
2002
Zenodo
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In addition, in order for the system to be able to corre ctly analyse regions of detected motion, shadows and reflexions due to moving objects should be detected and treated separately from the actual ...
The analysis system consists of three cascaded blocks: Change detection and pre-classification: lowlevel analysis to extract the regions of change, and roughly distinguish between illumination changes ...
doi:10.5281/zenodo.38017
fatcat:yej6dqdaubbxxdsnnhlbg25ywq
Local behavior modeling based on long-term tracking data
2015
2015 14th IAPR International Conference on Machine Vision Applications (MVA)
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A local behavior model based on the detected functional regions is introduced, allowing an in depth behavioral analysis. ...
Spatial knowledge is obtained by a novel human centered scene understanding approach, being able to accurately model sitting and walking regions based on noisy long-term tracking data from a depth sensor ...
Thus allows to obtain functional regions within a scene, being used for different activities without incorporating geometrical information. ...
doi:10.1109/mva.2015.7153191
dblp:conf/mva/PlanincK15
fatcat:jkulwjjmsbhvtpvmopr6xm5lra
Efficient tracking of many objects in structured environments
2009
2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops
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This system includes a novel active contour energy function used to parametrize the lanes of travel based only on the accumulation of spatiotemporal image derivatives, and a tracking algorithm that exploits ...
We consider the special case of tracking objects in highly structured scenes. ...
Figure 3 . 3 An example of the road score for a video. Darker pixels indicate a higher value.
Figure 2 . 2 (left) Example frames from a video of a traffic scene at different frames. ...
doi:10.1109/iccvw.2009.5457477
dblp:conf/iccvw/JacobsDSP09
fatcat:7s5e3bmw5zfjdf3usfumk7huca
Where does computational media aesthetics fit?
2003
IEEE Multimedia
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They go on to say that "segmentation will likely benefit from improved analysis of the video corpus, analysis of video structure, and application of cinematic rules of thumb." ...
Generally considered the most useful structural unit on the next level of the video structure taxonomy, scenes are a popular target for video segmentation. ...
doi:10.1109/mmul.2003.1195158
fatcat:ft2so3cjvzbhhhsjei2uhlblua
Video Analytics for Business Intelligence
[chapter]
2012
Studies in Computational Intelligence
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We describe existing algorithms for extraction and processing of target and scene information, multi-sensor cross camera analysis, inferencing of simple, complex and abnormal video events, data mining, ...
image search and retrieval, intuitive UIs for efficient customer experience, and text summarization of visual data. ...
The key goal behind the various algorithms and techniques discussed in this section is to automatically learn various target and scene attributes from video for later use in advanced activity recognition ...
doi:10.1007/978-3-642-28598-1_10
fatcat:shu47nw2unh73fsfpx46uvfdgi
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