Results 21 to 30 of about 458,032 (263)
Efficient Action Recognition with MoFREAK [PDF]
2013 International Conference on Computer and Robot Vision, 2013 Recent work shows that local binary feature descriptors are effective for increasing the efficiency of object recognition, while retaining comparable performance to other state of the art descriptors. An extension of these approaches to action recognition in videos would facilitate huge gains in efficiency, due to the computational advantage of ...
Chris Whiten +2 more
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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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3D trajectories for action recognition [PDF]
2014 IEEE International Conference on Image Processing (ICIP), 2014 Recent development in affordable depth sensors opens new possibilities in action recognition problem. Depth information improves skeleton detection, therefore many authors focused on analyzing pose for action recognition. But still skeleton detection is not robust and fail in more challenging scenarios, where sensor is placed outside of optimal working
Koperski, Michal +2 more
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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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Fusion Object Detection and Action Recognition to Predict Violent Action
Sensors, 2023 In the context of Shared Autonomous Vehicles, the need to monitor the environment inside the car will be crucial. This article focuses on the application of deep learning algorithms to present a fusion monitoring solution which was three different ...
Nelson R. P. Rodrigues +6 more
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Instant Action Recognition [PDF]
, 2009 In this paper, we present an efficient system for action recognition from very short sequences. For action recognition typically appearance and/or motion information of an action is analyzed using a large number of frames. This is a limitation if very fast actions (e.g., in sport analysis) have to be analyzed.
Thomas Mauthner +2 more
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Model recommendation for action recognition [PDF]
2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012 Simply choosing one model out of a large set of possibilities for a given vision task is a surprisingly difficult problem, especially if there is limited evaluation data with which to distinguish among models, such as when choosing the best “walk” action classifier from a large pool of classifiers tuned for different viewing angles, lighting conditions,
Pyry Matikainen +2 more
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