Results 61 to 70 of about 440,945 (164)
Modelling object mask interaction for compositional action recognition
Complex & Intelligent SystemsHuman actions can be abstracted as interactions between humans and objects. The recently proposed task of compositional action recognition emphasizes the independence and combinability of verbs (actions) and nouns (humans or objects) constituting human ...
Xinya Li +6 more
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Fast Non-parametric Action Recognition [PDF]
, 2012 In this work we propose a method for action recognition which needs no intensive learning stage, and achieves state-of-the-art classification performance. Our work is based on a method presented in the context of image classification. Unlike that method, our approach is well-suited for working with large real-world problems, thanks to an efficient ...
Ubalde, S., Goussies, N.A.
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, 2023 This paper presents a new dataset for hand action detection for manipulating (assembling and dismantling) mechanical devices and an action detection model based on Transformers. An entry in this dataset is a first-person-view video segment that shows hands performing an action. These hands may utilize a tool and act on an object of the device.
Nour Atamni, Said Naamneh, Jihad El-Sana
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Action recognition using vague division DMMs
The Journal of Engineering, 2017 This study presents a novel human action recognition method based on the sequences of depth maps, which provide additional body shape and motion information for action recognition.
Ke Jin +4 more
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Scientific ReportsFootball is a sport that requires sportsmen to have both physical strength and physical features. It must consider the distinctions between individuals and then provide targeted training.
Hongtao Chen, Zhengbai Lin, Quan Xu
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IEEE AccessThis paper introduces a novel framework that enhances teaching behavior analysis and movement instruction through action recognition techniques. Traditional approaches often lack adaptability and fail to capture the complexity of real-world classroom ...
Jun Zhang, Bin Dong
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Perceptual Perspective Taking and Action Recognition
International Journal of Advanced Robotic Systems, 2005 Robots that operate in social environments need to be able to recognise and understand the actions of other robots, and humans, in order to facilitate learning through imitation and collaboration.
Matthew Johnson, Yiannis Demiris
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Action Recognition Using Single-Pixel Time-of-Flight Detection
Entropy, 2019 Action recognition is a challenging task that plays an important role in many robotic systems, which highly depend on visual input feeds. However, due to privacy concerns, it is important to find a method which can recognise actions without using visual ...
Ikechukwu Ofodile +11 more
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Human action recognition using weighted pooling
IET Computer Vision, 2014 Pooling strategies, such as max pooling and sum pooling, have been widely used to obtain the global representations for action videos. However, these pooling strategies have several disadvantages.
Wen Zhou +3 more
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Fully convolutional networks for action recognition
IET Computer Vision, 2017 Human action recognition is an important and challenging topic in computer vision. Recently, convolutional neural networks (CNNs) have established impressive results for many image recognition tasks.
Sheng Yu +3 more
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