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Robust Detection of Abandoned and Removed Objects in Complex Surveillance Videos

YingLi Tian, Rogerio Schmidt Feris, Haowei Liu, Arun Hampapur, Ming-Ting Sun
2011 IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews)  
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

Yan Ke, Rahul Sukthankar, Martial Hebert
2007 2007 IEEE 11th International Conference on Computer Vision  
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]

Jean-Marc Odobez, Cyril Carincotte, Rémi Emonet, Erwan Jouneau, Sofia Zaidenberg, Bertrand Ravera, Francois Bremond, Andrea Grifoni
2012 Lecture Notes in Computer Science  
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

Dubravko Culibrk, Srdjan Sladojevic, Nicolas Riche, Matei Mancas, Vladimir Crnojevic, Peter Schelkens, Touradj Ebrahimi, Gabriel Cristóbal, Frédéric Truchetet, Pasi Saarikko
2012 Optics, Photonics, and Digital Technologies for Multimedia Applications II  
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

Meng Wang, Xianglong Liu, Xun Yang, Liang Zheng
2020 IEEE transactions on circuits and systems for video technology (Print)  
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

Chuanyun Wang, Yang Su, Jingjing Wang, Tian Wang, Qian Gao
2022 Remote Sensing  
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

Mahamuni P. D .
2014 International Journal of Research in Engineering and Technology  
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

Zeljko Obrenovic
2004 Yugoslav Journal of Operations Research  
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]

Anoop Aroor, Susan L. Epstein
2017 arXiv   pre-print
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

Tamanna Sahoo, Bibhuprasad Mohanty
2022 International Journal of Advanced Computer Science and Applications  
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

Tianhao Zhang, Waqas Aftab, Lyudmila Mihaylova, Christian Langran-Wheeler, Samuel Rigby, David Fletcher, Steve Maddock, Garry Bosworth
2022 Sensors  
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

M. Flagg, J. M. Rehg
2013 IEEE Transactions on Visualization and Computer Graphics  
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

Dileep Kumar Yadav, Karan Singh
2019 International Journal of Spatio-Temporal Data Science  
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

Ingmar Renhorn, Maria Axelsson, Koen Benoist, Dirk Bourghys, Yannick Boucher, Xavier Briottet, Sergio De Ceglie, Rob Dekker, Alwin Dimmeler, Remco Dost, Ola Friman, Ingebjørg Kåsen (+9 others)
2012 Infrared Technology and Applications XXXVIII  
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

Mehran Yazdi, Thierry Bouwmans
2018 Computer Science Review  
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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