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Leveraging Artificial Occluded Samples for Data Augmentation in Human Activity Recognition. [PDF]

Sensors (Basel)
Mathe E, Vernikos I, Spyrou E, Mylonas P.   +3 more
europepmc   +1 more source

Machine Learning for Human Activity Recognition: State-of-the-Art Techniques and Emerging Trends. [PDF]

J Imaging
Hossen MA, Abas PE.
europepmc   +1 more source

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Recognition of Human daily activities

2015 IEEE International Conference on Communication Workshop (ICCW), 2015
Capturing the type of physical activity a person is performing thorough his daily life, can inspire the development of new and innovative applications. Examples include monitoring patients' health and physical activity performance, reasoning upon the observed activity to recommend better training strategy, new therapeutic programs, etc. In this work we
Krasimir Tonchev, Strahil A. Sokolov, Yuliyan Velchev, Georgi R. Balabanov, Vladimir Poulkov   +4 more
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Human activity recognition: A review

2014 IEEE International Conference on Control System, Computing and Engineering (ICCSCE 2014), 2014
Human Activity Recognition is one of the active research areas in computer vision for various contexts like security surveillance, healthcare and human computer interaction. In this paper, a total of thirty-two recent research papers on sensing technologies used in HAR are reviewed.
Ong Chin Ann, Lau Bee Theng
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Continuous human activity recognition

ICARCV 2004 8th Control, Automation, Robotics and Vision Conference, 2004., 2005
Effectively recognizing human activities requires at least 32 joint related degrees of freedom to be estimated so as to reliably track the human body in 3D. The particle filter is robust to distracting clutter by maintaining multiple hypotheses for each of these joint angles.
Richard D. Green, Ling Guan
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Active Sensing in Human Activity Recognition

2017
This work studies the problem of reducing the energy consumption of wearable sensors in a Human Activity Recognition (HAR) system. A HAR system is implemented using Hidden Markov Models, where decisions over the acquisition of new data are made based on the entropy of the posterior distribution of the activities. This problem is intractable in general,
Alfredo Nazábal, Antonio Artés-Rodríguez   +1 more
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Rate-Invariant Recognition of Humans and Their Activities

IEEE Transactions on Image Processing, 2009
Pattern recognition in video is a challenging task because of the multitude of spatio-temporal variations that occur in different videos capturing the exact same event. While traditional pattern-theoretic approaches account for the spatial changes that occur due to lighting and pose, very little has been done to address the effect of temporal rate ...
Ashok Veeraraghavan, Anuj Srivastava, Amit K. Roy-Chowdhury, Rama Chellappa   +3 more
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Human Activity Recognition

, 2013
The major goal of computer vision research is to be able to interpret human motion and activities. It is a challenging task to be able to implement an accurate human activity recognition system as human activity is complex and diverse.
Miguel A. Labrador, Oscar D. Lara Yejas
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Recognition of Human Activities

2011
Computer Vision is the estimation of the three dimensional shape and other properties of objects based on their two dimensional (projection) images through the use of computers and cameras. It had its beginning in the early 1960s. At the time, it was thought to be an easy problem with a solution probably possible over a summer.
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Human Activity Recognition - A Grand Challenge

Digital Image Computing: Techniques and Applications (DICTA'05), 2005
Motion is an important cue for the human visual system. Mobiles have always fascinated children, Zeno (circa 500 B.C.) studied moving arrows to pose a paradox, and Zeke is investigating the human brain devoted to the understanding of motion. In computer vision research, motion has played an important role for the past thirty years.
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