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A Review on Classification Techniques for Human Activity Recognition
2015
Journal of advance research in business, management and accounting
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It involves processing the video into frames firstly and finding out the interest points, then extracting the features and lastly specifying and labeling the videos following an appropriate classifying ...
From this survey, we can make conclusion of various advantageous and disadvantageous facts about different classifiers used in the detection and classification task. ...
Gorelick et al. represented actions as space-time shapes using a relatively simple classification scheme of nearest neighbors classification and Euclidian distance measure [4] . ...
doi:10.53555/nnbma.v1i2.131
fatcat:ci3d5tgrwfew7c6ixcc2jqyo7m
Video-based analysis of motion skills in simulation-based surgical training
2013
Multimedia Content and Mobile Devices
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This paper introduces a novel solution to this problem through employing vision-based techniques. ...
Typical multiple-view vision techniques are inadequate for processing such data. ...
ACKNOWLEDGMENTS The work was supported in part by a grant (Grant No. 0904778) from the National Science Foundation. ...
doi:10.1117/12.2005177
fatcat:k24k4fqzsff2zg6cbq4pnyfblm
Motion Feature Combination for Human Action Recognition in Video
[chapter]
2008
Communications in Computer and Information Science
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The system is efficient to be used in real-time human action classification systems. ...
This is then further processed to give a histogram of the MHI and the Haar wavelet transform of the MHI. ...
This work is supported by the DTI (UK) and Broadcom Ltd.
Motion Feature Combination for Human Action Recognition in Video ...
doi:10.1007/978-3-540-89682-1_11
fatcat:ztnzza76unf4ren6ti7leinvum
Video event recognition using concept attributes
2013
2013 IEEE Workshop on Applications of Computer Vision (WACV)
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We propose to use action, scene and object concepts as semantic attributes for classification of video events in InTheWild content, such as YouTube videos. ...
We use the TRECVID Multimedia Event Detection (MED11) open source event definitions and datasets as our test bed and show results on over 1400 hours of videos. ...
Government is authorized to reproduce and distribute reprints for Governmental purposes not with-standing any copyright annotation thereon. ...
doi:10.1109/wacv.2013.6475038
dblp:conf/wacv/LiuYJATDCS13
fatcat:ofyznocwpnfebhizfmgsc3wlsi
On the Correlation of Automatic Audio and Visual Segmentations of Music Videos
2007
IEEE transactions on circuits and systems for video technology (Print)
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The latter is achieved by a novel algorithm which makes use of feature selection and statistical novelty detection approaches based on kernel methods. ...
The usefulness of these correlation measures is illustrated by a query by video experiment on a 100 music video database, which also exhibits interesting genre dependencies. ...
(SVM) aim at identifying a region of the feature space in which most of the data points lie. ...
doi:10.1109/tcsvt.2007.890831
fatcat:xvn7jjfeqvcdnmjql4vyde6bia
Unsupervised 3D Motion Summarization Using Stacked Auto-Encoders
2020
Applied Sciences
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In this paper, a deep stacked auto-encoder (SAE) scheme followed by a hierarchical Sparse Modeling for Representative Selection (SMRS) algorithm is proposed to summarize dance video sequences, recorded ...
This becomes apparent when two dancers are performing simultaneously and severe errors are encountered in the humans' point joints, due to dancers' occlusions in the 3D space. ...
Conflicts of Interest: The authors declare no conflict of interest.
Abbreviations The following abbreviations are used in this manuscript: ...
doi:10.3390/app10228226
fatcat:aagpzlc3pbbirfhnz2c7kkbv3i
Learning Multimodal Latent Attributes
2014
IEEE Transactions on Pattern Analysis and Machine Intelligence
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The rapid development of social media sharing has created a huge demand for automatic media classification and annotation techniques. ...
To solve this problem, we (1) introduce a concept of semi-latent attribute space, expressing user-defined and latent attributes in a unified framework, and (2) propose a novel scalable probabilistic topic ...
Computation is thus O(NK) for N total words and K topics. For our video dataset, where words correspond to dense interest point detections, N is of the order 10 10 and grows with video length. ...
doi:10.1109/tpami.2013.128
pmid:24356351
fatcat:tlchipuvl5evflsw6ewqs2oqyu
A Review of Human Activity Recognition Methods
2015
Frontiers in Robotics and AI
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Many applications, including video surveillance systems, human-computer interaction, and robotics for human behavior characterization, require a multiple activity recognition system. ...
Moreover, we provide a comprehensive analysis of the existing, publicly available human activity classification datasets and examine the requirements for an ideal human activity recognition dataset. ...
ACKNOWLEDGMENTS This research was funded in part by the UH Hugh Roy and Lillie Cranz Cullen Endowment Fund. ...
doi:10.3389/frobt.2015.00028
fatcat:ywzq5ej2gbhatg62sp46t3usgi
Capturing the Body Live: A Framework for Technological Recognition and Extension of Physical Expression in Performance
2015
Leonardo: Journal of the International Society for the Arts, Sciences and Technology
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The dance company Troika Ranch has made use of dancers' movement detected by laser beams crisscrossing the stage, impact sensors on the floor or computer vision tracking points on a dancer's body to shape ...
Martin divides the features of modern dance into four categories: space, time, dynamism and metakinesis [9] . ...
Interested authors should submit manuscript proposals or completed manuscripts to the Leonardo Editorial Office. Email to: <leonardomanuscripts@gmail.com>.
C A L L F O R P A P E R S ...
doi:10.1162/leon_a_00935
fatcat:fwmu5cgzxrcetmaxtailcozcca
Analysis of the applicability and utility of a gamified didactics with exergames at primary schools: Qualitative findings from a natural experiment
2020
PLoS ONE
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The "Mechanics-Dynamics-Aesthetics" gamification model and the "Just Dance Now" exergame may be applicable and useful for didactics in Physical Education, but all the participants' suggestions need to ...
Eight teachers and 417 students took part. A content analysis was chosen as the methodological orientation. ...
Acknowledgments The authors wish to thank all the schools, teachers and pupils for their involvement in this study. ...
doi:10.1371/journal.pone.0231269
pmid:32275688
fatcat:7mtvlucllbfr5hgpdz7su3o2z4
ACTIVE: Activity Concept Transitions in Video Event Classification
2013
2013 IEEE International Conference on Computer Vision
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We propose to apply Fisher Kernel techniques so that the concept transitions over time can be encoded into a compact and fixed length feature vector very efficiently. ...
The goal of high level event classification from videos is to assign a single, high level event label to each query video. ...
A set of object concept classifiers called classemes is used for image classification and novel class detection tasks in [22] . ...
doi:10.1109/iccv.2013.453
dblp:conf/iccv/SunN13
fatcat:rs7cxke5pbb3bprlh4wc2ah3k4
Recognition of Dynamic Video Contents With Global Probabilistic Models of Visual Motion
2006
IEEE Transactions on Image Processing
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We adopt a statistical approach involving modeling, (supervised) learning, and classification issues. ...
Because of the diversity of video content (even for a given class of events), we have to design appropriate models of visual motion and learn them from videos. ...
ACKNOWLEDGMENT The authors would like to thank INA for providing the video sequences. ...
doi:10.1109/tip.2006.881963
pmid:17076401
fatcat:cclh322rt5fxze5qzfnnbi2vj4
Human Activity Recognition System to Benefit Healthcare Field by using HOG and Harris Techniques with K-NN Model
2018
International Journal of Computer Applications
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In [5] Foroughi, Homa, et al in 2008 are proposed a novel approach for human fall detection based on combination of integrated time motion images and eigenspace technique. ...
K-NN is based on closest training examples in the feature space. The classification is based on the distance between a set of inputted data points and training points. ...
doi:10.5120/ijca2018917045
fatcat:rml6z6qydvagxdmbr7wsfsglsq
Learning to Generate Diverse Dance Motions with Transformer
[article]
2020
arXiv
pre-print
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As motion capture data is limited for the range of dance motions and styles, we introduce a massive dance motion data set that is created from YouTube videos. ...
We introduce a complete system for dance motion synthesis, which can generate complex and highly diverse dance sequences given an input music sequence. ...
We thank Yajie Zhao, Mingming He for prof reading, Zhengfei Kuang for editing the demo, Marcel Ramos and Kalle Bladin for the character rigging and rendering, and Pengda Xiang for the data annotation. ...
arXiv:2008.08171v1
fatcat:kp57scjce5cnlejdqpukvhurem
Automatic detection of abnormal gait
2009
Image and Vision Computing
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Understanding the detection of unusual movement patterns as a two-class problem suggests using support vector machines for classification. ...
We present a homeomorphisms between 2D lattices and binary shapes that provides a robust vector space embedding of segmented body silhouettes. ...
Introduction In times of increased interest in biometrics for authentication and access control, it comes as little surprise that gait analysis has become an active area of research. ...
doi:10.1016/j.imavis.2006.10.004
fatcat:pijkq63iafbkbkbpdxfh7ffofm
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