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Action recognition with prototypes
2017 25th Signal Processing and Communications Applications Conference (SIU), 2017Action recognition is a widely studied problem and many solutions have been introduced over the years. However, classification with weakly-labeled large scale web data continues to be a challenge due to the noisy content. In this study, we utilize a representation method that is based on selected distinctive exemplars, motivated by the success of ...
Ozge Yalcinkaya, Pinar Duygulu
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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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The meaning of action: a review on action recognition and mapping [PDF]
Advanced Robotics, 2007 In this paper, we analyze the different approaches taken to date within the computer vision, robotics and artificial intelligence communities for the representation, recognition, synthesis and understanding of action. We deal with action at different levels of complexity and provide the reader with the necessary related literature references.
Volker Kruger +2 more
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Self-recognition: body and action
Trends in Cognitive Sciences, 2002How do I know it was me who moved? A recent experimental study illustrates the contribution of one's body schema and awareness of one's own actions to self-recognition. The results provide evidence that bodily cues and action cues are important in self-recognition, and they demonstrate that action cues overrule bodily cues.
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Discovering distinctive action parts for action recognition
2014 IEEE International Conference on Image Processing (ICIP), 2014Recent methods based on mid-level visual concepts have shown promising capability in human action recognition field. Automatically discovering semantic entities such as parts for an action class remains challenging. In this paper, we focus on discovering distinctive action parts for recognition of human actions by learning and selecting a small number ...
Feifei Chen +3 more
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2011
Methods for analyzing humans and their actions from monocular or multi-view video data are required in many different applications. In this chapter simple LBP-based approaches for action recognition are introduced. The methods perform very favorably compared to the state-of-the-art for test video sequences commonly used in the research community.
Matti Pietikäinen +3 more
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Methods for analyzing humans and their actions from monocular or multi-view video data are required in many different applications. In this chapter simple LBP-based approaches for action recognition are introduced. The methods perform very favorably compared to the state-of-the-art for test video sequences commonly used in the research community.
Matti Pietikäinen +3 more
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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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2010
Action recognition is one of the most active research fields in computer vision. This chapter first reviews the action recognition methods in literature from two aspects: action representation and recognition strategy. Then, a novel method for classifying human actions from image sequences is investigated.
Qingdi Wei, Xiaoqin Zhang, Weiming Hu
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Action recognition is one of the most active research fields in computer vision. This chapter first reviews the action recognition methods in literature from two aspects: action representation and recognition strategy. Then, a novel method for classifying human actions from image sequences is investigated.
Qingdi Wei, Xiaoqin Zhang, Weiming Hu
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View-invariance in action recognition
Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001, 2005Automatically understanding human actions using motion trajectories derived from video sequences is a very challenging problem. Since an action takes place in 3-D, and is projected on 2-D image, depending on the viewpoint of the camera, the projected 2-D trajectory may vary.
Rao, Cen, Shah, Mubarak
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Action recognition based on RGB and skeleton data sets: A survey
Neurocomputing, 2022Zhiqiang Tian, Shaoyi Du
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