@InProceedings{Ahad2008,
  Title                    = {Human Activity Recognition: Various Paradigms},
  Author                   = {Ahad, M. A. R. and Tan, J. K. and Kim, H. S. and Ishikawa, S.},
  Booktitle                = {Proceedings of the International Conference on Control, Automation and Systems},
  Year                     = {2008},
  Pages                    = {1896--1901},

  Abstract                 = {Action and activity representation and recognition are very demanding research area in computer vision and man-machine interaction. Though plenty of researches have been done in this arena, the field is still immature. Over the last decades, extensive research methodologies have been developed on human activity analysis and recognition for various applications. This paper overviews various recent methods for human activity recognition with analysis. We attempt to sum up the various methods related to human motion representation and recognition. We make an effort to categorize the recent methods from the best in the business, and finally figure out the short-comings and challenges to dig out in future to develop robust action recognition approaches. This work exclusively endeavors to encompass the researches related only to human action recognition mainly from 2001 till-to-date with critical assessment of the methods. We also present our work along with to solve some of the shortcomings. It will widely benefit the researchers to understand and compare the related advancements in this area.},
  Doi                      = {10.1109/ICCAS.2008.4694407},
  Keywords                 = {image motion analysis;image recognition;image representation;action representation;activity representation;computer vision;human activity analysis;human activity recognition;human motion representation;man-machine interaction;Automatic control;Automation;Computer vision;Control engineering;Control systems;Hidden Markov models;Humans;Motion analysis;Skeleton;Training data;DMHI;HMM;Human action/motion recognition;motion representation},
  Timestamp                = {2014.12.18}
}

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Over the last decades, extensive research methodologies have been developed on human activity analysis and recognition for various applications. This paper overviews various recent methods for human activity recognition with analysis. We attempt to sum up the various methods related to human motion representation and recognition. We make an effort to categorize the recent methods from the best in the business, and finally figure out the short-comings and challenges to dig out in future to develop robust action recognition approaches. This work exclusively endeavors to encompass the researches related only to human action recognition mainly from 2001 till-to-date with critical assessment of the methods. We also present our work along with to solve some of the shortcomings. 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S. and Ishikawa, S.},\n Booktitle = {Proceedings of the International Conference on Control, Automation and Systems},\n Year = {2008},\n Pages = {1896--1901},\n\n Abstract = {Action and activity representation and recognition are very demanding research area in computer vision and man-machine interaction. Though plenty of researches have been done in this arena, the field is still immature. Over the last decades, extensive research methodologies have been developed on human activity analysis and recognition for various applications. This paper overviews various recent methods for human activity recognition with analysis. We attempt to sum up the various methods related to human motion representation and recognition. We make an effort to categorize the recent methods from the best in the business, and finally figure out the short-comings and challenges to dig out in future to develop robust action recognition approaches. 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