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Study on Recent Approaches for Human Action Recognition in Real Time

R. Rajitha Jasmine, Dr. K. K. Thyagharajan
2015 International Journal of Engineering Research and  
In this paper, we focus our attention to various modern approaches to human action recognition in real time.  ...  The challenge is to recognize human actions with more accuracy and efficiency in recognition time.  ...  This method [3] presents hierarchical representations of activity videos in an unsupervised manner.  ... 
doi:10.17577/ijertv4is080577 fatcat:hikmv56t6jc5la7ipcny5u4kha

An application of "agent-oriented" techniques to symbolic matching and object recognition

Masahiro Takatsuka, Terry M Caelli, Geoff A.W West, Svetha Venkatesh
2002 Pattern Recognition Letters  
This paper describes a feasibility study of "multi-agent oriented" techniques on a 2-D and 3-D object recognition system.  ...  Agents, each of which has symbolic representation of a part of an object, are hierarchically organized to represent a complete representation of an object.  ...  We have employed a hierarchical network model which is ''multi-agent oriented''.  ... 
doi:10.1016/s0167-8655(01)00174-x fatcat:xdfzwqwwsja6baxbuvdhaxv2qi

A Comprehensive Review of Group Activity Recognition in Videos

Li-Fang Wu, Qi Wang, Meng Jian, Yu Qiao, Bo-Xuan Zhao
2021 International Journal of Automation and Computing  
In this paper, we give a comprehensive overview of the advances in group activity recognition in videos during the past 20 years.  ...  From this comprehensive literature review, readers can obtain an overview of progress in group activity recognition for future studies.  ...  Then, two agents based on Markov decision processes are applied to refine the graph.  ... 
doi:10.1007/s11633-020-1258-8 fatcat:ycka4thcy5a6vghpenpthtrndi

Hierarchical Language-based Representation of Events in Video Streams

Ram Nevatia, Tao Zhao, Somboon Hongeng
2003 2003 Conference on Computer Vision and Pattern Recognition Workshop  
We define an Event Recognition Language (ERL) which allows the users to define the events of interest conveniently without interacting with the low level processing in the program.  ...  This hierarchical event representation naturally leads to a language description of the events.  ...  The Event Recognition Language The hierarchical representation of activities described above naturally leads to a language description of activities.  ... 
doi:10.1109/cvprw.2003.10038 dblp:conf/cvpr/NevatiaZH03 fatcat:cysfhz3gfzeifjvj6q74fmv6nm

Human behaviour recognition in data-scarce domains

Rolf H. Baxter, Neil M. Robertson, David M. Lane
2015 Pattern Recognition  
Simulated annealing is used to identify pairs of agents involved in multi-agent activity.  ...  This paper presents the novel theory for performing multi-agent activity recognition without requiring large training corpora.  ...  Multi-agent recognition A benefit of the hierarchical filter is that it can model multi-agent activity.  ... 
doi:10.1016/j.patcog.2015.02.019 fatcat:q7ojeovhbza33adae6lnnnxamy

Prediction of intent in robotics and multi-agent systems

Yiannis Demiris
2007 Cognitive Processing  
This review paper examines approaches for performing action recognition and prediction of intent from a multidisciplinary perspective, in both single robot and multi-agent scenarios, and analyses the underlying  ...  Moving beyond the stimulus contained in observable agent behaviour, i.e. understanding the underlying intent of the observed agent is of immense interest in a variety of domains that involve collaborative  ...  The multi-agent case Intention recognition and prediction is of importance also for applications involving groups of agents, particularly in adversarial scenarios such as competitive sports (Beetz et  ... 
doi:10.1007/s10339-007-0168-9 pmid:17479306 fatcat:ra6xcjxd4rgqxg4yfj2c3ch3xy

Dialogue Systems and Planning [chapter]

Guy Camilleri
2002 Lecture Notes in Computer Science  
Planning processes are often used in dialogue systems to recognize the intentions conveyed in dialogue. The generation of utterances can also be achieved by a planning/execution mechanism.  ...  In this paper, we present some planning mechanisms and the related models enabling the dialogue management (generation and understanding).  ...  In fact, this structure is a hierarchical tree of goals. Rgraph is a multi-agent plan containing detected goals of the dialogue participants.  ... 
doi:10.1007/3-540-46154-x_60 fatcat:f7lec4eigjh2hicdnaxvwmhh6e

Multi-agent event recognition by preservation of spatiotemporal relationships between probabilistic models

S. Khokhar, I. Saleemi, M. Shah
2013 Image and Vision Computing  
We present a new method for multi-agent activity analysis and recognition that uses low level motion features and exploits the inherent structure and recurrence of motion present in multi-agent activity  ...  Our representation is inspired by the need to circumvent the difficult problem of tracking in multi-agent scenarios and the observation that for many visual multi-agent recognition tasks, the spatiotemporal  ...  multi-agent activity and is therefore a popular choice for demonstration of recognition algorithms.  ... 
doi:10.1016/j.imavis.2013.06.004 fatcat:p772cnmbezduli23b4ss7ohw2y

Approach to design of distributed multi-agent system for processing sound information of the environment

U. A. Vishniakou, B. H. Shaya
2019 Sistemnyj Analiz i Prikladnaâ Informatika  
in the use of multi-agent intelligent technologies for information processing are presented.  ...  The processes of measurement, recording and analysis of different sound levels are considered. The amplitude and effect of sound waves vary considerably in continuous space-time measurements.  ...  The multi-agent system (MAC) is considered as an extension of agent technology, in which a group of related autonomous agents acts in an environment for information processing.  ... 
doi:10.21122/2309-4923-2019-3-47-53 fatcat:lhna7ryntngxzmyttdzzggqp64

Intelligent Agents and Evolvable Systems [chapter]

Krzysztof Cetnarowicz, Robert Schaefer, Bojin Zheng, Maciej Paszyński, Bartlomiej Śnieżyński
2008 Lecture Notes in Computer Science  
The following group of papers have dealt with applications of multi-agents paradigm for solving various, complex engineering problems.  ...  Al-Kanhal et al. have proposed an application of multi-agent systems to the optimization of dynamic uncertain process occurring when optimal uncertain manufacturing process are created.  ...  The paper by Jurek focuses on self-learning schemes in agents with application to the syntactic pattern recognition.  ... 
doi:10.1007/978-3-540-69389-5_60 fatcat:pfbdq6ujrng37e64iufjf7qsmy

Context-Awareness in Multi-agent Systems for Ambient Intelligence [chapter]

Andrei Olaru
2014 Context in Computing  
In order to implement context-awareness in a MAS for AmI applications, one must on the one hand choose an appropriate representation for context, that is suitable for agents of all sizes and functions,  ...  This chapter presents a model, mechanisms and methods for integrating contextawareness in multi-agent systems for AmI.  ...  ), is-in (− → Place), part-of (− → Activity) User (social) controlled-by (← − Device), of (← − Activity), connected-to (← − User) part-of (− → Activity), in (− → Group), connected-to (− → User) Group (  ... 
doi:10.1007/978-1-4939-1887-4_33 fatcat:olmyhnrucvactcklq4qoiw73vq

Distributed and Democratized Learning: Philosophy and Research Challenges [article]

Minh N. H. Nguyen, Shashi Raj Pandey, Kyi Thar, Nguyen H. Tran, Mingzhe Chen, Walid Saad, Choong Seon Hong
2020 arXiv   pre-print
Correspondingly, inspired by the societal groups of humans, the specialized groups of learning agents in the proposed Dem-AI system are self-organized in a hierarchical structure to collectively perform  ...  learning agents that are well-connected, but limited in learning capabilities.  ...  Fig. 7 : 7 An example of Dem-AI systems: Multi-language handwriting recognition.  ... 
arXiv:2003.09301v2 fatcat:r2wpohc4tjbfxntso44yhag3ly

EvA - A Self Adaptable Event-Based Recognition Framework for Three-Dimensional Activity Zones

Jochen Frey, Christian Neurohr, Jochen Britz, Boris Brandherm
2014 2014 International Conference on Intelligent Environments  
In this paper, we present our approach to extend the notion of Activity Zones by applying a three-dimensional zone computation and visualization process that is independent from the present smart home  ...  infrastructure and that is able to autonomously adapt to changes in the environment as well as to shifts in the user behavior.  ...  The numbers indicate the recognized events for the corresponding activity types. Recognition Process of an electric kettle zone in a multi-user setting.  ... 
doi:10.1109/ie.2014.20 dblp:conf/intenv/FreyNBB14 fatcat:mjhzc6kpnbeb7h4saofo6427z4

Complex Activity Representation and Recognition by Extended Stochastic Grammar [chapter]

Zhang Zhang, Kaiqi Huang, Tieniu Tan
2006 Lecture Notes in Computer Science  
However, in previous works, due to the limitation on representing parallel temporal relations, traditional stochastic grammar cannot be used to model complex multi-agent activity including parallel temporal  ...  Stochastic grammar has been used in many video analysis and event recognition applications as an efficient model to represent large-scale video activity.  ...  Illustration of the "telephone calling" activity recognition process Two activity recognition processes are shown in Figure 5 .  ... 
doi:10.1007/11612032_16 fatcat:y2jj63mzmbgivkjnag3shsgfri

Parallel biometrics computing using mobile agents

J. You, D. Zhang, J. Cao, M. Guo
2003 2003 International Conference on Parallel Processing, 2003. Proceedings.  
To increase the speed and flexibility of the process, we use mobile agents as a navigational tool for parallel implementation in a distributed environment, which includes hierarchical biometric feature  ...  This paper presents an efficient and effective approach to personal identification by parallel biometrics computing using mobile agents.  ...  Mobile Agents and Multi-agent System Structure Compared with earlier paradigms such as process migration or remote evaluation in distributed computing, the mobile agent model is becoming popular for network-centric  ... 
doi:10.1109/icpp.2003.1240593 dblp:conf/icpp/YouZCG03 fatcat:km434jzmyvcbjjaqtwirdjwjca
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