Results 11 to 20 of about 440,945 (164)
Quo Vadis, Skeleton Action Recognition? [PDF]
International Journal of Computer Vision, 2021 In this paper, we study current and upcoming frontiers across the landscape of skeleton-based human action recognition. To study skeleton-action recognition in the wild, we introduce Skeletics-152, a curated and 3-D pose-annotated subset of RGB videos sourced from Kinetics-700, a large-scale action dataset. We extend our study to include out-of-context
Pranay Gupta +6 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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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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Sensors, 2018 Recognition of human actions form videos has been an active area of research because it has applications in various domains. The results of work in this field are used in video surveillance, automatic video labeling and human-computer interaction, among ...
Shahela Saif +2 more
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Review of Human Action Recognition Based on Deep Learning
Jisuanji kexue yu tansuo, 2021 Human action recognition is one of the important topics in video understanding. It is widely used in video surveillance, human-computer interaction, motion analysis, and video information retrieval.
QIAN Huifang, YI Jianping, FU Yunhu
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Video Summarization Using Deep Action Recognition Features and Robust Principal Component Analysis [PDF]
Journal of Systemics, Cybernetics and Informatics, 2020 In an instance where desired pre-defined actions, behaviors, or other categories are known a priori, various video classification and recognition models can be trained to discover those classifications and their location within the video.
Daniel M. Claborne +3 more
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Follower: A Novel Self-Deployable Action Recognition Framework
Sensors, 2021 Deep learning technology has improved the performance of vision-based action recognition algorithms, but such methods require a large number of labeled training datasets, resulting in weak universality.
Xu Yang +5 more
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Tensor Representations for Action Recognition [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 Human actions in video sequences are characterized by the complex interplay between spatial features and their temporal dynamics. In this paper, we propose novel tensor representations for compactly capturing such higher-order relationships between visual features for the task of action recognition.
Piotr Koniusz, Lei Wang, Anoop Cherian
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I3D-Shufflenet Based Human Action Recognition
Algorithms, 2020 In view of difficulty in application of optical flow based human action recognition due to large amount of calculation, a human action recognition algorithm I3D-shufflenet model is proposed combining the advantages of I3D neural network and lightweight ...
Guocheng Liu +6 more
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