May 22, 2013 · This paper presents a simple but efficient action recognition algorithm using mixed visual features. The mixed features fuse three action ...
This paper proposes a novel 3D hand gesture recognition method for controlling an intelligent wheelchair based on both colour and depth information that has ...
Fusing mixed visual features for human action recognition ...
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This paper presents a simple but efficient action recognition algorithm using mixed visual features. The mixed features fuse three action descriptors, namely ...
This paper presents a simple but efficient action recognition algorithm using mixed visual features. The mixed features fuse three action descriptors, namely ...
In this paper, we propose a robust human motion detection method that combines canny operator with the combination of local and global optic flow methods.
Bibliographic details on Fusing mixed visual features for human action recognition.
Recently, it has shown a great potential for human action recognition using the three-dimensional (3D) depth data captured by the emerging RGB-D sensors.
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In mainstream approaches for 3D human action recognition, depth and skeleton features are combined to improve recognition accuracy. However, this strategy ...
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Nov 30, 2022 · We propose a multi-scale feature extraction fusion model combining Convolutional Neural Network (CNN) and Gated Recurrent Unit (GRU).
Jun 19, 2024 · This paper comprehensively reviews deep-based HAR methods using multiple visual data modalities. The main contribution of this paper is categorizing existing ...
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