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A Review on Classification Techniques for Human Activity Recognition

Sonali, Ashok Kumar Bathla
2015 Journal of advance research in business, management and accounting  
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

Qiang Zhang, Lin Chen, Qiongjie Tian, Baoxin Li, Cees G. M. Snoek, Lyndon S. Kennedy, Reiner Creutzburg, David Akopian, Dietmar Wüller, Kevin J. Matherson, Todor G. Georgiev, Andrew Lumsdaine
2013 Multimedia Content and Mobile Devices  
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]

Hongying Meng, Nick Pears, Chris Bailey
2008 Communications in Computer and Information Science  
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

Jingen Liu, Qian Yu, Omar Javed, Saad Ali, Amir Tamrakar, Ajay Divakaran, Hui Cheng, Harpreet Sawhney
2013 2013 IEEE Workshop on Applications of Computer Vision (WACV)  
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

Olivier Gillet, Slim Essid, Gal Richard
2007 IEEE transactions on circuits and systems for video technology (Print)  
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

Eftychios Protopapadakis, Ioannis Rallis, Anastasios Doulamis, Nikolaos Doulamis, Athanasios Voulodimos
2020 Applied Sciences  
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

Yanwei Fu, Timothy M. Hospedales, Tao Xiang, Shaogang Gong
2014 IEEE Transactions on Pattern Analysis and Machine Intelligence  
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

Michalis Vrigkas, Christophoros Nikou, Ioannis A. Kakadiaris
2015 Frontiers in Robotics and AI  
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

Elena Jessop
2015 Leonardo: Journal of the International Society for the Arts, Sciences and Technology  
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

Alejandro Quintas-Hijós, Carlos Peñarrubia-Lozano, Juan Carlos Bustamante, Francisco Javier Huertas-Delgado
2020 PLoS ONE  
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

Chen Sun, Ram Nevatia
2013 2013 IEEE International Conference on Computer Vision  
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

G. Piriou, P. Bouthemy, J.-F. Yao
2006 IEEE Transactions on Image Processing  
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

Wala'a N., Esra J.
2018 International Journal of Computer Applications  
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]

Jiaman Li, Yihang Yin, Hang Chu, Yi Zhou, Tingwu Wang, Sanja Fidler, Hao Li
2020 arXiv   pre-print
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

Christian Bauckhage, John K. Tsotsos, Frank E. Bunn
2009 Image and Vision Computing  
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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