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Robust Detection of Abandoned and Removed Objects in Complex Surveillance Videos
2011
IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews)
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Then, the same Gaussian mixture models used for background subtraction are employed to detect static foreground regions without extra computation cost. ...
Based on the type of the static regions and userdefined parameters (e.g., object size and abandoned time), a matching method is proposed to detect abandoned and removed objects. ...
ACKNOWLEDGMENTS The authors thank the anonymous reviewers for their constructive comments and suggestions that help to improve the quality of this manuscript. ...
doi:10.1109/tsmcc.2010.2065803
fatcat:46hqfkwy7fg45htchyciqhfjl4
Event Detection in Crowded Videos
2007
2007 IEEE 11th International Conference on Computer Vision
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We propose a technique for event recognition in crowded videos that reliably identifies actions in the presence of partial occlusion and background clutter. ...
This poses a difficult challenge for current approaches to video event detection because it is difficult to segment the actor from the background due to distracting motion from other objects in the scene ...
Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation. ...
doi:10.1109/iccv.2007.4409011
dblp:conf/iccv/KeSH07
fatcat:4zbyaybqwjc2lgx2xelbtllihe
Unsupervised Activity Analysis and Monitoring Algorithms for Effective Surveillance Systems
[chapter]
2012
Lecture Notes in Computer Science
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Third, a set of situationnal reporting methods (flow and count monitoring in escalators and at platforms as well as human presence at lift ) that provide a global view of the activity in the metro station ...
Second, different scene analysis algorithms will be demonstrated, ranging from left-luggage detection to the automatic identification of groups and their tracking. ...
This topic was addressed in the VANAHEIM project for the detection of abnormal audio events. ...
doi:10.1007/978-3-642-33885-4_80
fatcat:277fzc6jf5hebkhi2gy7mhjo6e
Data-driven approach to dynamic visual attention modelling
2012
Optics, Photonics, and Digital Technologies for Multimedia Applications II
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Most recent work in this area deals with dynamic models of attention that deal with moving stimuli (videos) instead of traditionally used still images. ...
The ability to automatically detect areas of the visual scene that will be attended to by humans is of interest for a large number of applications, from video coding, video quality assessment to scene ...
Seo and Milanfar 15 proposed a framework for static and space-time saliency detection (SEO model ). ...
doi:10.1117/12.923559
fatcat:nunhmil2unhbnmbbwvvpb7hgha
Introduction to the Special Section on Contextual Object Analysis in Complex Scenes
2020
IEEE transactions on circuits and systems for video technology (Print)
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The work "Salient features for moving object detection in adverse weather conditions during night time" by A. Singha and M. K. ...
Its efficacy is validated on four public crowd object counting datasets. The work "ZoomCount: A zooming mechanism for crowd counting in static images" by U. ...
doi:10.1109/tcsvt.2020.3017118
fatcat:znxhng7ednfbdjxxyn3m23gorq
UAVSwarm Dataset: An Unmanned Aerial Vehicle Swarm Dataset for Multiple Object Tracking
2022
Remote Sensing
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Finally, two state-of-the-art multi-object tracking (MOT) models, GNMOT and ByteTrack, are used to conduct comprehensive tests and performance verification on the dataset and evaluation metrics. ...
The UAVSwarm dataset can be widely used in training and testing of various UAV detection tasks and UAV swarm MOT tasks. ...
The background of the video is simple, but the object is too small, occluded, and moves fast. ...
doi:10.3390/rs14112601
fatcat:wvnonkr7rvflbjnjiluhqlbrhm
MOVING OBJECT DETECTION USING BACKGROUND SUBTRACTION ALGORITHM USING SIMULINK
2014
International Journal of Research in Engineering and Technology
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subtraction methods are widely exploited for moving object detection in videos in many applications, such as traffic monitoring, human motion capture and video surveillance. ...
How to correctly and efficiently model and update the background model and how to deal with shadows are two of the most distinguishing and challenging aspects of such approaches. ...
Fig. 1 System Block Diagram The foreground model is the model in which the moving object is present and background model is the model in which the moving object is not present. ...
doi:10.15623/ijret.2014.0306110
fatcat:jakmutbrgbgbdjuuumy4gtntie
Experimental evaluation of user performance in a pursuit tracking task with multimodal feedback
2004
Yugoslav Journal of Operations Research
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Moreover, experiments indicated the existence of perceptual boundaries of multimodal HCI for different scene complexity and target speeds. ...
In this paper we describe the results of experimental evaluation of user performance in a pursuit-tracking task with multimodal feedback. ...
Acknowledgments: The authors would like to acknowledge Dragan Gasević and Miroslav Havram for their valuable help in organization of the experiments. ...
doi:10.2298/yjor0401099o
fatcat:6yyq4ljvpbe6zosmocd2wdxlqm
Toward Crowd-Sensitive Path Planning
[article]
2017
arXiv
pre-print
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If a robot can predict crowds in parts of its environment that are inaccessible to its sensors, then it can plan to avoid them. ...
In simulation across multiple challenging crowd scenarios, the robot reaches its target faster, travels less, and risks fewer collisions than if it were to plan with the traditional A* algorithm. ...
Acknowledgements This work was supported in part by NSF #1625843. ...
arXiv:1710.05503v1
fatcat:5u6k66m3jjhdtdifirw5zhk3ka
A Novel Region Growing Algorithm using Wavelet Coefficient Feature Combination of Image Dynamics
2022
International Journal of Advanced Computer Science and Applications
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Simulation of various video sequences from CDnet, SBMnet, AGVS, I2R and Urban Tracker database has been applied and the method provides satisfactory detection of the moving object in a complex scene. ...
By extracting and combining wavelet features from the dynamics of the scene, a novel method of region growing technique has been further utilized to detect the moving object(s) in the scene. ...
Thus new background of moving objects becomes static. Thus the background should be updated in real-time [33] . ...
doi:10.14569/ijacsa.2022.0130690
fatcat:fofkcnwyqfdtvb6fpapgjwjzvm
Recent Advances in Video Analytics for Rail Network Surveillance for Security, Trespass and Suicide Prevention—A Survey
2022
Sensors
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State-of-the-art methods for object detection and behaviour recognition applied to rail network surveillance systems are introduced, and the ethics of handling personal data and the use of automated systems ...
These methods are built based on multiple types of sensors and are designed to automatically detect static objects and unexpected events, monitor people, and prevent potential dangers. ...
The methods for static object detection are different from the moving object as there is no relative movement between the object of interest and the background. ...
doi:10.3390/s22124324
pmid:35746103
pmcid:PMC9228438
fatcat:reaok5eq2rdsloxnqimc4yyfxe
Video-Based Crowd Synthesis
2013
IEEE Transactions on Visualization and Computer Graphics
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While recent progress in simulation and motion captured-based techniques for crowd synthesis has focused on natural macroscale behavior, this paper addresses the complementary problem of synthesizing crowds ...
We introduce crowd tubes, a representation of video objects designed to compose a crowd of video billboards while avoiding collisions between static and dynamic obstacles. ...
ACKNOWLEDGMENTS The authors would like to thank Dr. Kiran Bhat and Professors Karen Liu, Irfan Essa, and Sing Bing Kang for many useful discussions. This work was supported in part by ONR HUNT MURI. ...
doi:10.1109/tvcg.2012.317
pmid:24029912
fatcat:lljqbrdgajhsvhsv5x6z4o442a
Adaptive background modelling technique for moving object detection in video under dynamic environment
2019
International Journal of Spatio-Temporal Data Science
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This work proposes a novel method for detection of motion based object having dynamic scenario in the background. ...
This work develops a statistical p based background subtraction method and implemented in three stages. In the first stage, a background model is developed using few initial frames. ...
In future, we will apply deep learning approaches for moving object detection or tracking. ...
doi:10.1504/ijstds.2019.097600
fatcat:t5xnndqulzc2biuavsk4mkicgq
Detection in urban scenario using combined airborne imaging sensors
2012
Infrared Technology and Applications XXXVIII
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The aim of the project is to investigate the potential benefit of combined high spatial and spectral resolution airborne imagery for several defense applications in the urban area. ...
High spectral/spatial resolution sensor data are used for detection, classification, identification and tracking. ...
INTRODUCTION Due to the complexity of urban environments and human activities, the spatial and spectral characteristics of targets and backgrounds become more diverse which makes the detection and the ...
doi:10.1117/12.921473
fatcat:lito6hto3rc5na3sdzi6grjlcy
New trends on moving object detection in video images captured by a moving camera: A survey
2018
Computer Science Review
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Although many researches and excellent works have reviewed the methods of object detection and background subtraction for a fixed camera, there is no survey which presents a complete review of the existing ...
This paper presents a survey on the latest methods of moving object detection in video sequences captured by a moving camera. ...
results for moving object detection in presence of static cameras. ...
doi:10.1016/j.cosrev.2018.03.001
fatcat:piatniywwfalbnfwsurmodpblu
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