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May 25, 2024 · Some authors [54] studied a video-based gesture recognition method, which combined three-dimensional hand features, extracted spatio-temporal data, and carried ...
Missing: optical | Show results with:optical
7 days ago · The research method involves the development of educational games using existing algorithms in computer vision. The games are designed to enhance student's ...
May 18, 2024 · Until now, a variety of techniques exist that enable gesture recognition, including vision-based gesture recognition, smart glove-based gesture recognition, ...
Jun 1, 2024 · To solve the problem of difficulty retaining the temporal characteristics of the existing data, this paper proposes a human behavior recognition model based on ...
Missing: jointly | Show results with:jointly
May 30, 2024 · Thanks to dimensionality reduction, the decoder solely processes low-dimensional encoded data. Thus, the number of computations is significantly reduced, ...
Missing: posture optical
May 18, 2024 · The dynamic hand gesture recognition task has seen studies on various unimodal and multimodal methods. Previously, researchers have explored depth and 2D- ...
May 22, 2024 · Higher values of the lower bound reduce influence of noise when searching for matches in ... This algorithm computes the optical flow ... together for being close ...
Missing: Hand posture recognition jointly
3 days ago · This research investigates the recognition of basketball techniques actions through the implementation of three-dimensional (3D) Convolutional Neural ...
May 15, 2024 · Here we take a deeper look at the combination of flow and action recognition, and investigate why optical flow is helpful, what makes a flow method good for ...
May 15, 2024 · Gait recognition can be performed using various input data such as RGB image, silhouette, GEI (Gait Energy Image), optical flow image, body skeleton and human ...