Results 61 to 70 of about 5,777,447 (338)
Temporal Pyramid Network for Action Recognition [PDF]
Computer Vision and Pattern Recognition, 2020 Visual tempo characterizes the dynamics and the temporal scale of an action. Modeling such visual tempos of different actions facilitates their recognition.
Ceyuan Yang +4 more
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ACTION-Net: Multipath Excitation for Action Recognition [PDF]
Computer Vision and Pattern Recognition, 2021 Spatial-temporal, channel-wise, and motion patterns are three complementary and crucial types of information for video action recognition. Conventional 2D CNNs are computationally cheap but cannot catch temporal relationships; 3D CNNs can achieve good ...
Zhengwei Wang, Qi She, A. Smolic
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Action recognition by discriminative EdgeBoxes
IET Computer Vision, 2018 Due to the huge number of online videos uploaded and viewed every day, there is an emerging need nowadays for the action recognition techniques. Applying these techniques in uncontrolled and realistic videos is still a challenging task, considering the ...
Mohammed El‐Masry +2 more
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International Journal For Multidisciplinary Research, 2023 human-to-human interaction and interpersonal relations Human activity recognition plays a significant role. Because to identity of a person, their personality, and psychological state it provides information, it is difficult to extract. another person's activities is one of the main subjects of study of the scientific areas of computer vision The human
Shraddha Marotkar -, A.B. Kharate -
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Research on Human Motion Recognition Based on Data Redundancy Technology
Complexity, 2021 Aiming at the problems of low recognition rate and slow recognition speed of traditional body action recognition methods, a human action recognition method based on data deduplication technology is proposed.
Hong-Lan Yang +2 more
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Lightweight Semantic-Guided Neural Networks Based on Single Head Attention for Action Recognition
Sensors, 2022 Skeleton-based action recognition can achieve a relatively high performance by transforming the human skeleton structure in an image into a graph and applying action recognition based on structural changes in the body.
Seon-Bin Kim +3 more
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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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Short-Term Action Learning for Video Action Recognition
IEEE AccessFor a long-term complex Action, it is typically composed of various short-term Actions. The speed and importance of these short-term Actions directly affect the recognition results.
Liu Ting-Long
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Learning 3D Skeletal Representation From Transformer for Action Recognition
IEEE Access, 2022 Skeleton-based human action recognition has attracted significant interest due to its simplicity and good accuracy. Diverse end-to-end trainable frameworks based on skeletal representation have been proposed so far to map the representation to human ...
Junuk Cha +5 more
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An Attention Enhanced Graph Convolutional LSTM Network for Skeleton-Based Action Recognition [PDF]
Computer Vision and Pattern Recognition, 2019 Skeleton-based action recognition is an important task that requires the adequate understanding of movement characteristics of a human action from the given skeleton sequence.
Chenyang Si +4 more
semanticscholar +1 more source