Results 231 to 240 of about 342,546 (256)
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Convex Deficiencies for Human Action Recognition
Journal of Intelligent & Robotic Systems, 2011A human action can be identified by visualizing the sequence of 2D binary projections over time. Here, one of the most representative features is shape and a wide range of algorithms have been proposed using its descriptors. This paper pro- poses convex deficiencies, the difference between an object and its convex hull, to be considered as a ...
Mabel Iglesias Ham +3 more
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Action recognition for human-marionette interaction
Proceedings of the 20th ACM international conference on Multimedia, 2012In this paper, we propose a human-marionette interaction system based on a human action recognition approach for applications to interactive artistic puppetry and a mimicking-marionette game. We developed an intelligent marionette called "i-marionette" that is controlled by a sophisticated control device to achieve various human actions.
Shih-Yao Lin 0001 +3 more
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Human action recognition with salient trajectories
Signal Processing, 2013Recognizing human actions in video sequences is attracting much attention, and this paper aims to deal with the problem of action recognition with salient trajectories. First, two kinds of trajectory saliency values, appearance and motion saliency, are calculated and combined to capture complementary information.
Yang Yi, Yikun Lin
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Study on Human Body Action Recognition
2018A novel human body action recognition method based on Kinect is proposed. Firstly, the key frame of the original data is extracted by using the key frame extraction technology based on quaternion. Secondly, the moving pose feature based on the motion information of each joint point is constituted for the skeleton information of each key frame.
Dong Yin, YuQing Miao, Kang Qiu, An Wang
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2017
In this project, we develop an algorithm that recognize different human actions from videos. We tackle the problem of human silhouette extraction and present three different methodologies or techniques that adress the human detection from an image. Our particular project first trains a system utilizing the Optical Flow for tracking the actions.
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In this project, we develop an algorithm that recognize different human actions from videos. We tackle the problem of human silhouette extraction and present three different methodologies or techniques that adress the human detection from an image. Our particular project first trains a system utilizing the Optical Flow for tracking the actions.
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Deep Learning for Human Action Recognition
2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT), 2023Amrutha S, Akash S, Manohar N
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A comparative review of graph convolutional networks for human skeleton-based action recognition
Artificial Intelligence Review, 2021Yaqin Zhao, Zhao Yaqin
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Graph Convolutional Neural Network for Human Action Recognition: A Comprehensive Survey
IEEE Transactions on Artificial Intelligence, 2021Songxuan Lai, Luojun Lin, Lianwen Jin
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Continuous Multi-View Human Action Recognition
IEEE Transactions on Circuits and Systems for Video Technology, 2022Qianqian Wang +2 more
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