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Universal-to-Specific Framework for Complex Action Recognition [article]

Peisen Zhao, Lingxi Xie, Ya Zhang, Qi Tian
2020 arXiv   pre-print
effective universal-to-specific (U2S) framework for complex action recognition.  ...  The mask is further used to guide the category-specific network for class-specific feature representations. The entire framework is optimized in an end-to-end manner.  ...  In this paper, we present the universal-to-specific (U2S) framework, namely, an end-to-end framework for discriminative feature learning, which consists of three subnetworks, i.e., a universal network  ... 
arXiv:2007.06149v1 fatcat:c2eyj7ony5hw7iljwfwccfarpa

Joint detection and recognition of human actions in wireless surveillance camera networks

Nikhil Naikal, Pedram Lajevardi, Shankar. S. Sastry
2014 2014 IEEE International Conference on Robotics and Automation (ICRA)  
We have extended this framework to the single-view and multi-view video setting to jointly detect and recognize actions.  ...  In this paper we present an efficient system for the joint detection and recognition of human actions using a network of wireless smart cameras.  ...  CONCLUSIONS We have presented a framework for the joint detection and recognition of human actions on long, complex video sequences.  ... 
doi:10.1109/icra.2014.6907554 dblp:conf/icra/NaikalLS14 fatcat:ty2m4ygwr5hozntekhjo3i2otm

Semantic Event Fusion of Different Visual Modality Concepts for Activity Recognition

Carlos F. Crispim-Junior, Vincent Buso, Konstantinos Avgerinakis, Georgios Meditskos, Alexia Briassouli, Jenny Benois-Pineau, Ioannis Yiannis Kompatsiaris, Francois Bremond
2016 IEEE Transactions on Pattern Analysis and Machine Intelligence  
This paper proposes a hybrid framework between knowledge-driven and probabilistic-driven methods for event representation and recognition.  ...  the framework with a mechanism to handle noisy and ambiguous concept observations, an ability that most knowledge-driven methods lack.  ...  ACKNOWLEDGMENTS The research leading to these results has received funding from the European Research  ... 
doi:10.1109/tpami.2016.2537323 pmid:26955015 fatcat:b3v4qtxjtvg23lljhqy4lma6om

G3Di: A Gaming Interaction Dataset with a Real Time Detection and Evaluation Framework [chapter]

Victoria Bloom, Vasileios Argyriou, Dimitrios Makris
2015 Lecture Notes in Computer Science  
Our detection framework decomposes interactions into the actions of each person to infer the interaction in real time.  ...  Experimental results indicate higher complexity of the new dataset in comparison to existing gaming datasets.  ...  Acknowledgments We would like to thank the staff, students and interns of Kingston University for participating in the gamesourcing.  ... 
doi:10.1007/978-3-319-16178-5_49 fatcat:rusmzwdzrng3ffcevzk2meticy

Research on Action Recognition and Content Analysis in videos based on DNN and MLN

Wei Song, Jing Yu, Xiaobing Zhao, Antai Wang
2019 Computers Materials & Continua  
In the current era of multimedia information, it is increasingly urgent to realize intelligent video action recognition and content analysis.  ...  First, this paper reviews the latest video action recognition methods based on Deep Neural Network and Markov Logic Network.  ...  Our gratitude is extended to the anonymous reviewers for their valuable comments and professional contributions to their improvement of this paper.  ... 
doi:10.32604/cmc.2019.06361 fatcat:6ty3fvakize7jj5tqzcysdh4zi

Learning-based analysis of emotional impairments in schizophrenia

Peng Wang, Christian Kohler, Elizabeth Martin, Neal Stolar, Ragini Verma
2008 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops  
Such measures include universal emotion states, and associated facial actions that are encoded by action units (AUs) [3] .  ...  In this paper, we present a novel learning-based method that uses Bayesian Networks (BN) to model the inter-relationship between multiple clinical measures on facial expressions, for the study of emotional  ...  Although some computerized facial expressions analysis methods have been developed to recognize specific types of facial expressions, in terms of either individual action unites [18, 11] or universal  ... 
doi:10.1109/cvprw.2008.4563009 dblp:conf/cvpr/WangKMSV08 fatcat:424dhx62brgv5jy6ecn4htlqem

3DPalsyNet: A Facial Palsy Grading and Motion Recognition Framework using Fully 3D Convolutional Neural Networks

Gary Storey, Richard Jiang, Shelagh Keogh, Ahmed Bouridane, Chang-Tsun Li
2019 IEEE Access  
With this application in mind, this paper presents an end-to-end framework, named 3DPalsyNet, for the tasks of mouth motion recognition and facial palsy grading. 3DPalsyNet utilizes a 3D CNN architecture  ...  Leveraging transfer learning from a 3D CNNs pre-trained on the Kinetics data set for general action recognition, the model is modified to apply joint supervised learning using center and softmax loss concepts  ...  complex recognition tasks [2] .  ... 
doi:10.1109/access.2019.2937285 fatcat:dylbxsnwdrbmzpg4yxpuodjisy

Empower-SE COST Action International Research Workshop: Towards and enabling ecosystem for social enterprises

Mihaela Lambru
2020 Journal of Entrepreneurial and Organizational Diversity (JEOD)  
The presentations covered both the issues of the demand for and the supply of resources, capturing the specificity and complexity of the access to resources for social enterprises.  ...  Marianne Degevos (Netherlands) commented on the complexity of the ecosystem and the access to resources for social enterprises in The Netherlands.  ... 
doi:10.5947/jeod.2020.004 fatcat:pcl5gnyarrb6deweh7bwvlwtqi

Survey of pedestrian action recognition techniques for autonomous driving

Li Chen, Nan Ma, Patrick Wang, Jiahong Li, Pengfei Wang, Guilin Pang, Xiaojun Shi
2020 Tsinghua Science and Technology  
In this survey, we present a detailed description of the architecture for pedestrian action recognition in autonomous driving, and compare the existing mainstream pedestrian action recognition techniques  ...  Specifically, vehicles need to detect pedestrians, recognize their limb movements, and understand the meaning of their actions before making appropriate decisions in response.  ...  Acknowledgment We are grateful to the anonymous reviewers for their constructive suggestions.  ... 
doi:10.26599/tst.2019.9010018 fatcat:rw5st7tok5avzalkqeuwt3jmdu

GPU-Framework for Teamwork Action Recognition [article]

Mohamed Elhoseiny, Hossam Faheem, Taymour Nazmy, Eman Shaaban
2013 arXiv   pre-print
Real time processing for teamwork action recognition is a challenge, due to complex computational models to achieve high system performance.  ...  The framework can be applied in various fields, especially athletic and military applications. Furthermore, the framework can be customized for many action recognition applications.  ...  As illustrated in Figure 1 , the framework spans all stages required for many action recognition systems with specifications of each component, defined on the arrows.  ... 
arXiv:1310.3322v1 fatcat:mzn6blzry5gkffh3vh74qbo4km

Active object recognition by view integration and reinforcement learning

Lucas Paletta, Axel Pinz
2000 Robotics and Autonomous Systems  
Active recognition of three-dimensional objects involves the observer in a search for discriminative evidence, e.g., by change of its viewpoint.  ...  The information gain in fusing successive object hypotheses provides a utility measure to reinforce actions leading to discriminative viewpoints.  ...  We wish to thank Manfred Prantl and Hermann Borotschnig for useful discussions.  ... 
doi:10.1016/s0921-8890(99)00079-2 fatcat:mmdabedtinettm3qi34vf7dawe

Real-Time Head Action Recognition Based on HOF and ELM

Tie HONG, Yuan Wei LI, Zhi Ying WANG
2019 IEICE transactions on information and systems  
For action recognition, we proposed a real-time head action recognition framework based on HOF and ELM.  ...  Head action recognition, as a specific problem in action recognition, has been studied in this paper.  ...  We think that a difficulty of face landmark based framework is robust face detection and head pose angle estimation in a wide angle region (specially for some challenging camera angles and complex action  ... 
doi:10.1587/transinf.2018edl8191 fatcat:va6i36llfndbnjqmounvmfamxy

A Team Cognitive Readiness Framework for Small-Unit Training

Stephen M. Fiore, Karol G. Ross, Florian Jentsch
2012 Journal of Cognitive Engineering and Decision Making  
Beginning with perceptual processing and cue recognition, elevating to problem solving and decision making, and scaling up to complex coordinative processes, TCR requires a comprehensive theoretical framework  ...  In this article, the authors provide a theoretical framework meant to guide the development of training for team cognitive readiness (TCR).  ...  As such, cue perception and recognition form the precursor processes for our framework of TCR.  ... 
doi:10.1177/1555343412449626 fatcat:5m3hlygidfckbleedwb54hf4wi

The CORES project [chapter]

P. A. Cudd, M. Freeman, R. B. Yates, A. J. Wilson, M. P. Cooke, M. S. Hawley
1994 Lecture Notes in Computer Science  
The long term aim is to generalisc this to a portable device with an adaptable HCI (both in hardware and software terms) suitable for disabled and able-bodied people alike.  ...  The CORES project aims to investigate the development of a speech-only-input based Human Computer Interface 0t(2I) which will lead to suitably skilled disabled users being able to operate any commonly  ...  Acknowledgement : The authors are indebited to Dr. P. Courtney.  ... 
doi:10.1007/3-540-58476-5_174 fatcat:abw5u6e5crgxrk6txwgxqgopji

Xatkit: A multimodal low-code chatbot development framework

Gwendal Daniel, Jordi Cabot, Laurent Deruelle, Mustapha Derras
2020 IEEE Access  
While these frameworks are efficient to design simple chatbot applications, they still require advanced technical knowledge to define complex interactions and are difficult to evolve along with the company  ...  Multiple frameworks have been developed to ease their definition and deployment.  ...  Fernàndez Cecchetto for extending Xatkit with support for additional platforms and to Robert Clarisó and Daniel Caligari for his help during the empirical evaluation.  ... 
doi:10.1109/access.2020.2966919 fatcat:fsjem4gabra2foo5gkoelmsasu
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