Abstract: Automatic human action annotation is a challenging problem, which overlaps with many computer vision fields such as video-surveillance, ...
Skeleton Point Trajectories for Human Daily Activity Recognition. 521. Mixture Model. All these approaches rely on numerous salient. patches with low ...
Skeleton point trajectories for human daily activity recognition ... - HAL
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In this work, we offer a skeleton based algorithm to classify segmented human-action sequences. Our contribution is twofold. First, we offer and evaluate ...
Skeleton Point Trajectories for Human Daily Activity Recognition ; Adrien Chan-Hon-Tong · PersonId : 967233; ORCID : 0000-0002-7333-2765; IdRef : 181792427.
May 27, 2023 · With skeleton-based methods, the trajectory-based method used is based on the trajectory that investigates the spatial and temporal movement of ...
May 3, 2023 · In this work, we perform human action recognition through skeletal joint tracking of the human body using a deep recurrent neural network. Our ...
In this paper, we present a novel skeleton-based part-wise Spatio-temporal CNN –. RIAC Network-based 3D human action recognition framework to visualise the ...
In this paper, we propose a novel skeletal representation that models the human body as the articulated interconnections of multiple rigid bodies.
Jul 6, 2022 · Skeleton-based human action recognition has emerged recently thanks to its compactness and robustness to appearance variations.
This work presents an activity recognition algorithm based on the extraction of skeleton joints from a depth camera. The system describes an activity using a ...