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Human Action Recognition by Representing 3D Skeletons as Points in a Lie Group
2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014Recently introduced cost-effective depth sensors coupled with the real-time skeleton estimation algorithm of Shotton et al. [16] have generated a renewed interest in skeleton-based human action recognition.
Raviteja Vemulapalli +2 more
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Cross-Domain Human Action Recognition
IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 2012Conventional human action recognition algorithms cannot work well when the amount of training videos is insufficient. We solve this problem by proposing a transfer topic model (TTM), which utilizes information extracted from videos in the auxiliary domain to assist recognition tasks in the target domain. The TTM is well characterized by two aspects: 1)
Wei, Bian, Dacheng, Tao, Yong, Rui
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Human action invarianceness for human action recognition
2015 9th International Conference on Software, Knowledge, Information Management and Applications (SKIMA), 2015The uniqueness of the human action shape or silhouete can be used for the human action recognition. Acquiring the features of human silhouette to obtained the concept of human action invarianceness have led to an important research in video surveillance domain. This paper discusses the investigation of this concept by extracting individual human action
Nilam Nur Amir Sjarif +1 more
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View invariants for human action recognition
2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings., 2003This paper presents two approaches for the representation and recognition of human action in video, aiming for view-point invariance. The paper first presents new results using a 2D approach presented earlier. Inherent limitations of the 2D approach are discussed and a new 3D approach that builds on recent work on 3D model-based invariants, is ...
Vasu Parameswaran, Rama Chellappa
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Multi-Stream Interaction Networks for Human Action Recognition
IEEE transactions on circuits and systems for video technology (Print), 2022Skeleton-based human action recognition has received extensive attention due to its efficiency and robustness to complex backgrounds. Though the human skeleton can accurately capture the dynamics of human poses, it fails to recognize human actions ...
Haoran Wang +4 more
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Human Action Recognition with Transformers
2022Having a reliable tool to predict the actions performed in a video can be very useful for intelligent security systems, for many applications related to robotics and for limiting human interactions with the system. In this work we present an architecture trained to predict the action present in digital video sequences.
Pier Luigi Mazzeo +3 more
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SkateFormer: Skeletal-Temporal Transformer for Human Action Recognition
European Conference on Computer VisionSkeleton-based action recognition, which classifies human actions based on the coordinates of joints and their connectivity within skeleton data, is widely utilized in various scenarios.
Jeonghyeok Do, Munchurl Kim
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Towards Real-Time Human Action Recognition
2009This work presents a novel approach to human detection based action-recognition in real-time. To realize this goal our method first detects humans in different poses using a correlation-based approach. Recognition of actions is done afterward based on the change of the angular values subtended by various body parts. Real-time human detection and action
Chakraborty, Bhaskar +2 more
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Human action recognition using autoencoder
2017 3rd IEEE International Conference on Computer and Communications (ICCC), 2017In this research, we developed a new deep neural network model to identify human action that was composed of an autoencoder and a pattern recognition neural network (PRNN). Our approach was divided into two parts: a system learning stage and an action recognition stage.
Qinkun Xiao, Yang Si
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