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A Constrained Probabilistic Petri Net Framework for Human Activity Detection in Video
2008
IEEE transactions on multimedia
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Toward this end, we present a computational framework for human activity representation based on Petri nets. ...
We propose an extension -Probabilistic Petri Nets (PPN)-and show how this model is well suited to address each of the above requirements in a wide variety of settings. ...
Constrained Probabilistic Petri Nets We define a constrained probabilistic Petri net (PPN) as the tuple P P N = {P, T, →, F, δ} where 1) P and T are finite disjoint sets of places and transitions respectively ...
doi:10.1109/tmm.2008.2001369
fatcat:6cr44ubpqvhgffkaqatbg5zxom
Machine Recognition of Human Activities: A Survey
2008
IEEE transactions on circuits and systems for video technology (Print)
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The past decade has witnessed a rapid proliferation of video cameras in all walks of life and has resulted in a tremendous explosion of video content. ...
In this review paper, we present a comprehensive survey of efforts in the past couple of decades to address the problems of representation, recognition, and learning of human activities from video and ...
Consider an example of a car pickup activity represented by a probabilistic Petri net as shown in Fig. 9 . In this figure, the places are labeled and transitions . ...
doi:10.1109/tcsvt.2008.2005594
fatcat:4m2a5yjbsvgdrfujtm6hmntasy
Semantic Video Content Analysis
[chapter]
2010
Studies in Computational Intelligence
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describe activities, and design of frameworks which integrate all the above aspects in a coherent way, thus laying the foundations of effective Semantic Video Content Analysis systems. ...
In recent years, there has been significant interest in the area of automatically recognizing activities occurring in a camera's field of view and detecting abnormalities. ...
Definition 8 (Constrained Probabilistic Petri Net). ...
doi:10.1007/978-3-642-12900-1_6
fatcat:tcmislol3zcg5fgemo3sm6vahq
Video Event Modeling and Recognition in Generalized Stochastic Petri Nets
2010
IEEE transactions on circuits and systems for video technology (Print)
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In this paper we propose the Surveillance Event Recognition Framework using Petri Nets (SERF-PN) for recognition of event occurrences in video based on the Petri Net(PN) formalism. ...
This formalism allows us a robust way to express semantic knowledge about the event domain as well as efficient algorithms for recognizing events as they occur in a particular video sequence. ...
Conclusion In this paper we propose , SERF-PN, a framework for the representation and recognition of video events based on the Petri Net (PN) formalism. ...
doi:10.1109/tcsvt.2009.2031372
fatcat:xn7rgzi7cnfo5ife3msw4aluv4
Modeling Pedestrians in an Airport Scenario with a Time-Augmented Petri Net
[chapter]
2013
Advances in Intelligent Systems and Computing
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In this paper time-augmented Petri nets are used to model people in the transit hall of an airport. ...
This framework allows to show a rich set of behaviors; the diversity of the emergent behaviors is initiated with probabilities from observations in an actual transit hall of an airport. ...
ACKNOWLEDGMENT The authors would like to thank Philip Kerbusch for his input. ...
doi:10.1007/978-3-642-33932-5_50
fatcat:3wxel4d5rndxtoynblkbfdrsau
A SYNERGISTIC MODEL FOR REPRESENTING AND INTERPRETING HUMAN ACTIVITIES AND EVENTS FROM VIDEO
2003
International journal on artificial intelligence tools
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recognition [12] , complex visual activity recognition using a temporally ordered database [11] , layered probabilistic recognition of human action [10], learning and recognizing human dynamics in video ...
This paper describes a new and innovative and approach for representing, recognizing and interpreting human activity from video, contributing to an automated system capable of recognition of complex human ...
A synergistic methodology based on Local/Global (L-G) graphs, Stochastic Petri-nets (SPN) and Neural nets (NN) provides a framework to store and exploit this information, as described in Figure 2 . ...
doi:10.1142/s0218213003001137
fatcat:tg73rotpebcpvg7yshzrjhxv5q
Advances in Human Action Recognition: A Survey
[article]
2015
arXiv
pre-print
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Human action recognition has been an important topic in computer vision due to its many applications such as video surveillance, human machine interaction and video retrieval. ...
From this state-of-the-art survey, researchers can view a panorama of progress in this area for future research. ...
The conversion achieves a form that is computationally tractable. Bayesian belief networks and Petri nets are introduced, respectively, in [31] and in [17] . ...
arXiv:1501.05964v1
fatcat:tdkrneqvifdf5ppg3dmbrvy43a
Human modeling for human–robot collaboration
2017
The international journal of robotics research
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Here, we discuss, compare and contrast the many techniques available for modeling human cognition and behavior, and evaluate their benefits and drawbacks in the context of human-robot collaboration. ...
One way in which this challenge can be addressed is by developing explicit models of human teammates. ...
As such, Petri nets are often used in surveillance applications, such as tracking cars in a parking lot to detect anomalies (Ghanem et al. 2003). ...
doi:10.1177/0278364917690592
fatcat:teebme5ntvewdcjau3anwajjne
Belief Scheduler based on model failure detection in the TBM framework. Application to human activity recognition
2010
International Journal of Approximate Reasoning
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The Belief Scheduler is part of a generic architecture developed for on-line and automatic human action and activity recognition in videos of athletics taken with a moving camera. ...
A tool called Belief Scheduler is proposed for state sequence recognition in the Transferable Belief Model (TBM) framework. ...
The authors developed a generalization of a Petri Net to belief functions based on the Generalized Bayesian Theorem (GBT) [22] . ...
doi:10.1016/j.ijar.2010.04.005
fatcat:fabxolitmravjh4tuqjuf7an5y
A Network of Dynamic Probabilistic Models for Human Interaction Analysis
2011
IEEE transactions on circuits and systems for video technology (Print)
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a robust model for the analysis of human interactions. ...
Index Terms-Dynamic Bayesian network, human interaction analysis, network of dynamic probabilistic models, subinteractions, video surveillance. ...
Chen for providing Tsinghua University's dataset for performance comparison. ...
doi:10.1109/tcsvt.2011.2133570
fatcat:bqnkcmfsmfeg3jh3z32fhs433e
2018 Index IEEE Transactions on Knowledge and Data Engineering Vol. 30
2019
IEEE Transactions on Knowledge and Data Engineering
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Potter, A., þ, TKDE
Dec. 2018 2312-2325
Human factors
Personalized and Diverse Task Composition in Crowdsourcing. ...
., þ, TKDE May 2018 810-823 Linguistic Petri Nets Based on Cloud Model Theory for Knowledge Representation and Reasoning. ...
doi:10.1109/tkde.2018.2882359
fatcat:asiids266jagrkx5eac6higrlq
Understanding Video Events: A Survey of Methods for Automatic Interpretation of Semantic Occurrences in Video
2009
IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews)
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Understanding Video Events, the translation of low-level content in video sequences into highlevel semantic concepts, is a research topic that has received much interest in recent years. ...
Finally we consider the application domain of video event understanding in light of the proposed taxonomy, and propose future directions for research in this field. 1 ...
Such event models as Markov logics [36] and probabilistic Petri-Nets [173] are a step in this direction. ...
doi:10.1109/tsmcc.2009.2023380
fatcat:eb46zx3wn5bd3fiaypn4p65jaa
Modeling Temporal Interactions with Interval Temporal Bayesian Networks for Complex Activity Recognition
2013
IEEE Transactions on Pattern Analysis and Machine Intelligence
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Complex activities typically consist of multiple primitive events happening in parallel or sequentially over a period of time. ...
Experimental results show that by reasoning with spatiotemporal dependencies, the proposed model leads to a significantly improved performance when modeling and recognizing complex activities involving ...
ACKNOWLEDGMENTS This work was supported in part by the US Defense Advanced Research Projects Agency under grants HR0011-08-C-0135-S8 and HR0011-10-C-0112. ...
doi:10.1109/tpami.2013.33
pmid:23969390
fatcat:tvj5v7iewrbkzbnzpudx6en2mi
High-level event recognition in unconstrained videos
2012
International Journal of Multimedia Information Retrieval
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The goal of high-level event recognition is to automatically detect complex high-level events in a given video sequence. ...
In this paper, we review current technologies for complex event recognition in unconstrained videos. ...
Acknowledgments This work was supported in part by the Intelligence Advanced Research Projects Activity (IARPA) via Department of Interior National Business Center contract numbers D11PC20066, D11PC20070 ...
doi:10.1007/s13735-012-0024-2
fatcat:mfzttic3svb4tho2xb6aczgp4y
Probabilistic Event Calculus for Event Recognition
[article]
2013
arXiv
pre-print
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Furthermore, we demonstrate the advantages of the probabilistic Event Calculus through examples and experiments in the domain of activity recognition, using a publicly available dataset for video surveillance ...
Markov Logic Networks are a natural candidate for our logic-based formalism. However, the temporal semantics of the Event Calculus introduce a number of challenges for the proposed model. ...
Morariu, for their valuable comments and suggestions. ...
arXiv:1207.3270v2
fatcat:pinrfkmjl5dvra7gavlzppnndy
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