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Bottom-Up Temporal Action Localization with Mutual Regularization [article]

Peisen Zhao, Lingxi Xie, Chen Ju, Ya Zhang, Yanfeng Wang, Qi Tian
2021 arXiv   pre-print
for the final localization.  ...  Recently, temporal action localization (TAL), i.e., finding specific action segments in untrimmed videos, has attracted increasing attentions of the computer vision community.  ...  Metric for temporal action localization. To evaluate the performance of action localization, we use mean Average Precision (mAP) metric.  ... 
arXiv:2002.07358v3 fatcat:nhludhkxxvgbrest2u6ekpywem

Multi-Scale Locality-Constrained Spatiotemporal Coding for Local Feature Based Human Action Recognition

Bin Wang, Yu Liu, Wei Wang, Wei Xu, Maojun Zhang
2013 The Scientific World Journal  
for human action recognition in video.  ...  We propose a Multiscale Locality-Constrained Spatiotemporal Coding (MLSC) method to improve the traditional bag of features (BoF) algorithm which ignores the spatiotemporal relationship of local features  ...  This demonstrates that considering the spatiotemporal relationship is important for human action recognition in video. The locality-constrained spatiotemporal coding is better than StC.  ... 
doi:10.1155/2013/405645 pmid:24194681 pmcid:PMC3806242 fatcat:3g2upm6ovfeh3djvomp4r6r2be

Action Recognition Based on Multi-scale Oriented Neighborhood Features

Jiangfeng Yang, Zheng Ma, Mei Xie
2015 International Journal of Signal Processing, Image Processing and Pattern Recognition  
For temporal sequential approaches, actions in digital videos are regarded as sequences of states (e.g. poses).  ...  The spatio-temporal (ST) position information between local features plays an important role in action recognition task.  ...  Classifying with LGSR To utilize the intrinsic group information from these MONFs within one video for action classification, we employed the Locality-constrained Group Sparse Representation (LGSR) to  ... 
doi:10.14257/ijsip.2015.8.1.21 fatcat:r4d2lsyl4zdtlaw5jrhign22la

Multiscale Spatial Position Coding under Locality Constraint for Action Recognition

Jiang-feng Yang, Zheng Ma, Mei Xie
2015 Journal of Electrical Engineering and Technology  
In the paper, to handle the problem of traditional bag-of-features model ignoring the spatial relationship of local features in human action recognition, we proposed a Multiscale Spatial Position Coding  ...  In classification stage, the Locality-Constrained Group Sparse Representation is adopted to utilize the intrinsic group information of the sub-STV features.  ...  This demonstrates that the ST relationship is important for human video action recognition, and the locality-constrained ST coding is better than StC.  ... 
doi:10.5370/jeet.2015.10.4.1851 fatcat:ecwbw7rp7fdjtpavkrae65sloa

Action Recognition Using Polyhedron Neighborhood Features

Jiangfeng Yang, Zheng Ma
2015 International Journal of Multimedia and Ubiquitous Engineering  
Next, multi-temporal-scale PNFs (MPNFs) are created for handling the problem of various action speeds.  ...  To utilize the geometry structure information and similarity information within the neighborhood surrounding a spatio-temporal interest point for human action recognition task, we employ the axes of a  ...  However, a key limitation of Spatio-Temporal Interest Point (STIP) representations is that they can be too local, failing to capture adequate spatial or temporal relationships.  ... 
doi:10.14257/ijmue.2015.10.1.36 fatcat:specwqd7wjdy7ngb2e4diqhfeu

Probabilistic Feature Extraction from Multivariate Time Series Using Spatio-Temporal Constraints [chapter]

Michał Lewandowski, Dimitrios Makris, Jean-Christophe Nebel
2011 Lecture Notes in Computer Science  
This is achieved by incorporating a new spatio-temporal constraining prior over latent spaces within the likelihood optimisation of Gaussian Process Latent Variable Models (GPLVM).  ...  In addition we provide quantitative results on a classification application, i.e. view-invariant action recognition, where imposing spatiotemporal constraints is essential.  ...  As a consequence, the action viewpoints are arbitrary and unknown. Here, we use one action repetition of each subject for training, whereas testing is performed with all action repetitions.  ... 
doi:10.1007/978-3-642-20847-8_15 fatcat:ru35l7fm4vd2vc4hialscntkl4

Improving Computational Efficiency in Crowded Task Allocation Games with Coupled Constraints

Ming Chong Lim, Han-Lim Choi
2019 Applied Sciences  
In real-world applications, many tasks have complicated coupled relationships that affect the feasibility of some algorithms.  ...  In this paper, we leverage on the properties of potential games and introduce a scheduling algorithm to provide feasible solutions in allocation scenarios with complicated spatial and temporal dependence  ...  This also means that in the new constrained action set of any agent at the current iteration, there are no actions that can improve any agent's local utility.  ... 
doi:10.3390/app9102117 fatcat:dzpfqoahj5gznjcw2bwogzcwwa

Constraint deduction in an interval-based temporal logic [chapter]

Jana Koehler, Ralf Treinen
1995 Lecture Notes in Computer Science  
We describe reasoning methods for the interval-based modal temporal logic LLP which employs the modal operators sometimes, always, next, and chop.  ...  We propose a constraint deduction approach and compare it with a sequent calculus, developed as the basic machinery for the deductive planning system PHI which uses LLP as underlying formalism.  ...  Acknowledgements We would like to thank Susanne Biundo, Hans-Jürgen Bürckert, Dietmar Dengler, Hans-Jürgen Ohlbach and Gert Smolka for their interest and for fruitful discussions.  ... 
doi:10.1007/3-540-58976-7_7 fatcat:loa4rzzrs5djpdhbjm6pjra5oi

SoccerDB: A Large-Scale Database for Comprehensive Video Understanding [article]

Yudong Jiang, Kaixu Cui, Leilei Chen, Canjin Wang, Changliang Xu
2020 arXiv   pre-print
The database contains 853,527 bounding boxes, 37,709 essential event labels with time boundary, and 17,115 highlight annotations for object detection, action recognition, temporal action localization,  ...  Soccer videos can serve as a perfect research object for video understanding because soccer games are played under well-defined rules while complex and intriguing enough for researchers to study.  ...  Object detection, action recognition, temporal action localization, and highlight detection. ose tasks, crucial to video analysis, can be investigated in the closed-form under a constrained environment  ... 
arXiv:1912.04465v3 fatcat:qmogym4ncffafbucf2vacu3uie

Pairwise Features for Human Action Recognition

Anh-Phuong Ta, Christian Wolf, Guillaume Lavoue, Atilla Baskurt, Jean-Michel Jolion
2010 2010 20th International Conference on Pattern Recognition  
Existing action recognition approaches mainly rely on the discriminative power of individual local descriptors extracted from spatio-temporal interest points (STIP), while the geometric relationships among  ...  This paper presents new features, called pairwise features (PWF), which encode both the appearance and the spatio-temporal relations of the local features for action recognition.  ...  Second, our method incorporates both the spatial and temporal relationships among local features in a significant manner, i.e such relationships are constrained to time and space.  ... 
doi:10.1109/icpr.2010.788 dblp:conf/icpr/TaWLBJ10 fatcat:4ptge3f4fzcx7oxdlnqtpkf5pa

Multiple Instance Dictionary Learning for Activity Representation

Sabanadesan Umakanthan, Simon Denman, Clinton Fookes, Sridha Sridharan
2014 2014 22nd International Conference on Pattern Recognition  
Then locality-constrained linear coding is used to encode the features into the generated codebook followed by spatio-temporal pyramid pooling to convey the spatio-temporal statistics.  ...  In the context of activity recognition, local features are increasingly popular for representing videos because of their simplicity and efficiency.  ...  spatio-temporal relationship.  ... 
doi:10.1109/icpr.2014.246 dblp:conf/icpr/UmakanthanDFS14 fatcat:lysd72jgwrbp7ibn24pzuk26om

Distribution of Responsibility for Climate Change within the Milieu

Laÿna Droz
2021 Philosophies  
This article approaches the challenges of the distribution of responsibility for climate change on a local level using the framework of the milieu.  ...  inspired by Japanese and cross-cultural environmental philosophy, provides pathways to address the four challenges of climate change (global dispersion, fragmentation of agency, institutional inadequacy, temporal  ...  This paper also benefited from precious inputs from the preliminary "Fuudo" research project team at the Research Center for Humanity and Nature in Kyoto, Japan, in particular Miyata Akihiro, Ota Kazuhiko  ... 
doi:10.3390/philosophies6030062 fatcat:637dimlq75aljc5bb4azbxspou

How to Model a Real-Time Database?

Nizar Idoudi, Claude Duvallet, Rafik Bouaziz, Bruno Sadeg, Faiez Gargouri
2009 2009 IEEE International Symposium on Object/Component/Service-Oriented Real-Time Distributed Computing  
Real-time databases deal with time-constrained data and time-constrained transactions.  ...  Then, we present a framework for real-time database design and describe its fundamental operations.  ...  Action 2: Is the same than action 2 for the derived attribute mapping (cf. section 5.1).  ... 
doi:10.1109/isorc.2009.17 dblp:conf/isorc/IdoudiDBSG09 fatcat:wbjbim2zr5egropwudrp3ub4b4

Human action recognition using trajectory-based representation

Haiam A. Abdul-Azim, Elsayed E. Hemayed
2015 Egyptian Informatics Journal  
Despite the popularity of local features-based approaches together with "Bag-of-Words" model for action representation, it fails to capture adequate spatial or temporal relationships.  ...  This paper introduces an improvement of trajectory-based human action recognition approaches to capture discriminative temporal relationships.  ...  Despite the popularity of local representation approaches, it has some drawbacks. One of the main drawbacks is the ignorance of spatial and temporal relationships between local features.  ... 
doi:10.1016/j.eij.2015.05.002 fatcat:dpzydwkkqfehbg5cm2lssucgku

Constrained Joint Cascade Regression Framework for Simultaneous Facial Action Unit Recognition and Facial Landmark Detection

Yue Wu, Qiang Ji
2016 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)  
In this paper, we improve upon the cascade regression framework and propose the Constrained Joint Cascade Regression Framework (CJCRF) for simultaneous facial action unit recognition and facial landmark  ...  In particular, we first learn the relationships among facial action units and face shapes as a constraint.  ...  In [22] , pairwise AU relationships are learned. In [8] , the AU relationship is learned from prior knowledge. In [17] , the temporal information is incorporated for AU recognition.  ... 
doi:10.1109/cvpr.2016.370 dblp:conf/cvpr/WuJ16 fatcat:4yrtmrsknfbtbfo36ewl7hduqa
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