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Review on Vision based Human Activity Analysis
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 99 - Number 2 |
| Year of Publication: 2014 |
| Authors: Sreeja Sankaran Nampoothiri, Anoop B. K |
10.5120/17343-6240
|
Sreeja Sankaran Nampoothiri, Anoop B. K . Review on Vision based Human Activity Analysis. International Journal of Computer Applications. 99, 2 ( August 2014), 9-14. DOI=10.5120/17343-6240
Abstract
Recognizing human actions are important in various real time applications. Review on human activity analysis is provided in three sections. The first section in this paper presents an overall classification to Human activity analysis from feature extraction to recognition systems. In the second section a survey is included which provides technical information to activity analysis. Finally a brief description of databases which came across in survey is also included. The overall purpose of this paper is to provide a basic understanding to human activity analysis and to analyze the major challenge in human activity analysis.
References
- Salah Althloothi, Mohammed H. Mahoor, Xiao Zhang, and Richard M. Voyles "Human activity recognition using multi-features and multiple kernel learning," Pattern recognition, vol. 47, pp. 1800-1812, Dec 2013.
- Attila Reiss, Gustaf Hendeby ,Dider Stricker, "A Competitive approach For Human activity recognition on smart phones", in Google Scholar, pp. 455–460.
- Ankun Agarwal , Bill Trigis, "Recovering 3D Human Pose from Monocular images ," IEEE transactions on pattern analysis and Machine intelligence, vol. 28 ,pp. 44-58,Jan 2006
- Huimin Qian, Yaobin Mao, Wenbo Xiang, Zhiquan Wang, "Recognition of human activities using SVM multi-class classifier" Pattern Recognition Letters,vol 31, pp. 100-111,Sep 2009 .
- Ju Han, Bhanu B, "Human Activity Recognition in Thermal Infrared Imagery ," IEEE Computer Society Conference on computer vision and Pattern Recognition,pp. 17,Jun 2005
- Chien –Chung Tseng,Ju-chin Chen, Ching-Hsien Fang, Jenn-Jier James Lien ,"Human action recognition based on graph embedded spatio-temporal subspace,"Pattern recognition,vol. 45,pp. 3611-3624,April 2012
- Guruprasad Somasundaram , Anoop Cheriyan,Vassilios Morellas, Nikolaos Papanikolopoulos, "Action Recognition using Global Spatio-Temporal Features Derived from Sparse Representations" , Jan 2014
- Manuel J. Marin-Jimenez, Enrique Yeguas, Nicolas Perez de la Blanca, "Exploring STIP-based models for recognizing human interactions in TV videos", Pattern Recognition Letters,vol. 34,pp. 1819-1828,2013
- Mohiddin Ahmad, Seong – Whang Lee,"Variable silhouette energy image representations for recognizing human activities," Image and Vision computing , vol. 28 , pp. 814-824,2010
- Jose M. Chaquet,Enrique J. Carmona, Antonio Fernandez Caballero,"A survey of video datasets for human action and activity recognition ," Computer Vision and Image Understanding,vol. 117,pp. 633-659,Feb. 2013
- Imran N. Junejo,Zaher Al Aghbari , "Using SAX representation for human action recognition," J. Vis. Commun. Image R. ,vol. 23 ,pp. 853-861,2012
- Harong Wang , Chunfeng Yuan , Weiming Hu , Changyin Sun, "Supervised class-specific dictionary learning for sparse modeling in action recognition ," Pattern Recognition, vol. 45, pp. 3902-3911,Apr2012
- Nazim Ashraf,Yuping Shen , Xiaochun Cao, Hassan Forrosh "View invariant action recognition using weighted fundamental ratios," Computer Vision and Image Understanding , vol. 117,pp. 587-602,Feb2013
- M. Ahmad, S. Lee, "HMM-based human action recognition using multiview image sequences", ICPR vol. 1,pp. 263–266, 2006
- F. Cuzzolin "Using bilinear models for view-invariant action and identity recognition", Proceedings of CVPR, pp. 1701–1708,2006
- L. Campbell, D. Becker, A. Azarbayejani, A. Bobick, A. Pentland, "Invariant features for 3-d gesture recognition," FG pp. 157–16,199
- P. Turaga, R. Chellappa, V. Subrahmanian, O. Udrea, "Machine recognition of human activities: a survey," IEEE Transactions on Circuits and Systems for Video Technology vol. 18,pp. 1473–1488,Nov2008
- Alexandros Iosifidis , Anastasios Tefas, Ioannis Pitas, "Multi-view action recognition based action volumes, fuzzy distance and cluster discriminate analysis" Signal Processing 93,pp. 1445-1457,2013
- Anastasios Drossou,Dimosthenis loannidis,Konstantios Moustakas,Dimitrios Tzovaras, "Spatitemporal analysis of human activities for biometric authentication," Computer Vision and Image Understanding 116, pp. 411-421, 2012
- Antonio W. Vieira,Erickson R. Nascimento, Gabriel L. Olivera, Zicheng Liu, Mario F. M. Campos, "On the improvement of human action recognition from depth map sequences using Space-Time Occupancy Patterns" Pattern Recognition Letters 36,pp. 221-227,2014
- Vapnik, V. , Statistical Learning Theory. John Wiley and Sons Inc. , New York. Veeraraghavan, A. , Roy-Chowdhury, A. K. , Chellappa, R. "Matching shape sequences in video with applications in human movement analysis". IEEE Trans. Pattern Anal. Machine Intell. , vol. 27, pp. 1896–190, 2005
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