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A Survey Of Activity Recognition And Understanding The Behavior In Video Survelliance [article]

A. R. Revathi, Dhananjay Kumar
2012 arXiv   pre-print
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

Taufiq Hasan, Hynek Boril, Abhijeet Sangwan, John H. L. Hansen
2012 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)  
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

R.T. Collins, A.J. Lipton, H. Fujiyoshi, T. Kanade
2001 Proceedings of the IEEE  
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

Stephen Se, France Laliberte, Vinay Kotamraju, Melanie Dutkiewicz
2012 Full Motion Video (FMV) Workflows and Technologies for Intelligence, Surveillance, and Reconnaissance (ISR) and Situational Awareness  
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]

Santhosh Kelathodi Kumaran, Debi Prosad Dogra, Partha Pratim Roy
2019 arXiv   pre-print
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

Petros Daras, Ioannis Kompatsiaris, Ilias Grinias, Georgios Akrivas, Georgios Tziritas, Stefanos Kollias, Michael G. Strintzis
2003 EURASIP Journal on Advances in Signal Processing  
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]

Shaogang Gong, Chen Change Loy, Tao Xiang
2011 Visual Analysis of Humans  
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

Wensheng Zhou, Son Dao, C.-C. Jay Kuo
2002 Information Systems  
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]

Lisa Usai, Francesco Pantisano, Leonardo G., Franco Selvaggi
2011 Video Surveillance  
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

A. Hampapur, L. Brown, J. Connell, A. Ekin, N. Haas, M. Lu, H. Merkl, S. Pankanti
2005 IEEE Signal Processing Magazine  
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

A. Sarti, Giovanni Milanesi, S. Tubaro
2002 Zenodo  
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

Rainer Planinc, Martin Kampel
2015 2015 14th IAPR International Conference on Machine Vision Applications (MVA)  
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

Nathan Jacobs, Michael Dixon, Scott Satkin, Robert Pless
2009 2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops  
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?

B. Adams
2003 IEEE Multimedia  
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]

Asaad Hakeem, Himaanshu Gupta, Atul Kanaujia, Tae Eun Choe, Kiran Gunda, Andrew Scanlon, Li Yu, Zhong Zhang, Peter Venetianer, Zeeshan Rasheed, Niels Haering
2012 Studies in Computational Intelligence  
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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