Results 11 to 20 of about 458,032 (263)
Action Recognition with Actons [PDF]
2013 IEEE International Conference on Computer Vision, 2013 With the improved accessibility to an exploding amount of video data and growing demands in a wide range of video analysis applications, video-based action recognition/classification becomes an increasingly important task in computer vision. In this paper, we propose a two-layer structure for action recognition to automatically exploit a mid-level ...
Jun Zhu +4 more
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Kernelized covariance for action recognition [PDF]
2016 23rd International Conference on Pattern Recognition (ICPR), 2016 In this paper we aim at increasing the descriptive power of the covariance matrix, limited in capturing linear mutual dependencies between variables only. We present a rigorous and principled mathematical pipeline to recover the kernel trick for computing the covariance matrix, enhancing it to model more complex, non-linear relationships conveyed by ...
Jacopo Cavazza +3 more
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Viewpoint Manifolds for Action Recognition
EURASIP Journal on Image and Video Processing, 2009 Action recognition from video is a problem that has many important applications to human motion analysis. In real-world settings, the viewpoint of the camera cannot always be fixed relative to the subject, so view-invariant action recognition methods are
Richard Souvenir, Kyle Parrigan
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Towards Understanding Action Recognition [PDF]
2013 IEEE International Conference on Computer Vision, 2013 -
Hueihan Jhuang +4 more
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IEEE Access, 2021 Many believe that the successes of deep learning on image understanding problems can be replicated in the realm of video understanding. However, due to the scale and temporal nature of video, the span of video understanding problems and the set of ...
Matthew S. Hutchinson +1 more
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Action recognition by dense trajectories [PDF]
CVPR 2011, 2011 Feature trajectories have shown to be efficient for representing videos. Typically, they are extracted using the KLT tracker or matching SIFT descriptors between frames. However, the quality as well as quantity of these trajectories is often not sufficient. Inspired by the recent success of dense sampling in image classification, we propose an approach
Wang, Heng +3 more
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ACTION-Net: Multipath Excitation for Action Recognition [PDF]
2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021 To appear in CVPR ...
Zhengwei Wang, Qi She, Aljosa Smolic
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HalluciNet-ing Spatiotemporal Representations Using a 2D-CNN
Signals, 2021 Spatiotemporal representations learned using 3D convolutional neural networks (CNN) are currently used in state-of-the-art approaches for action-related tasks. However, 3D-CNN are notorious for being memory and compute resource intensive as compared with
Paritosh Parmar, Brendan Morris
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Brand recognition action in mobile shopping [PDF]
E3S Web of Conferences, 2023 Depending on the development in technology, consumer expectations are also changing. Depending on the changing demands and needs, both the consumers and the virtual environment quickly go to meet these situations.
Basal Murat, Gayretlı Sule
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View-Invariant Action Recognition [PDF]
, 2020 Human action recognition is an important problem in computer vision. It has a wide range of applications in surveillance, human-computer interaction, augmented reality, video indexing, and retrieval. The varying pattern of spatio-temporal appearance generated by human action is key for identifying the performed action.
Yogesh S. Rawat, Shruti Vyas
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