Results 51 to 60 of about 440,945 (164)
Contextual Action Cues from Camera Sensor for Multi-Stream Action Recognition
Sensors, 2019 In action recognition research, two primary types of information are appearance and motion information that is learned from RGB images through visual sensors. However, depending on the action characteristics, contextual information, such as the existence
Jongkwang Hong +3 more
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RGB-D Data-Based Action Recognition: A Review
Sensors, 2021 Classification of human actions is an ongoing research problem in computer vision. This review is aimed to scope current literature on data fusion and action recognition techniques and to identify gaps and future research direction.
Muhammad Bilal Shaikh, Douglas Chai
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3D trajectories for action recognition [PDF]
2014 IEEE International Conference on Image Processing (ICIP), 2014 Recent development in affordable depth sensors opens new possibilities in action recognition problem. Depth information improves skeleton detection, therefore many authors focused on analyzing pose for action recognition. But still skeleton detection is not robust and fail in more challenging scenarios, where sensor is placed outside of optimal working
Koperski, Michal +2 more
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A Review of Human Activity Recognition Methods
Frontiers in Robotics and AI, 2015 Recognizing human activities from video sequences or still images is a challenging task due to problems such as background clutter, partial occlusion, changes in scale, viewpoint, lighting, and appearance.
Michalis eVrigkas +2 more
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Factorized 3D-CNN for Real-Time Fall Detection and Action Recognition on Embedded System
IEEE AccessWe present a novel approach for skeleton-based action recognition and fall detection, optimized for real-time performance on embedded devices. Our method employs a factorized 3D convolutional neural network (3D-CNN) to efficiently extract spatiotemporal ...
Nadhira Noor, In Kyu Park
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Action Recognition in a Crowded Environment
i-Perception, 2017 So far, action recognition has been mainly examined with small point-light human stimuli presented alone within a narrow central area of the observer’s visual field.
Laura Fademrecht +4 more
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Local Feature Refinement Action Recognition Method Based on Graph Convolution [PDF]
Jisuanji gongchengAlthough action recognition is an important research area in computer vision, current mainstream methods lack a sufficient emphasis on local features.
HE Zize, ZHAN Yinwei
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, 2021 Aquest projecte se centra en el procés de reconeixement i classificació de les accions que realitza una persona en un moment concret, també conegut com Human Activity Recognition. Per a realitzar el reconeixement d'activitat i pose s'ha fet ús d'un algorisme de pose estimation, el qual proporciona l'esquelet de la persona i és d'ajuda per a classificar
Picazos Carrillo, Jose Antonio +1 more
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Action Recognition by Hierarchical Mid-Level Action Elements [PDF]
2015 IEEE International Conference on Computer Vision (ICCV), 2015 Realistic videos of human actions exhibit rich spatiotemporal structures at multiple levels of granularity: an action can always be decomposed into multiple finer-grained elements in both space and time. To capture this intuition, we propose to represent videos by a hierarchy of mid-level action elements (MAEs), where each MAE corresponds to an action ...
Lan, Tian +3 more
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Early Action Recognition with Action Prototypes
, 2023 Early action recognition is an important and challenging problem that enables the recognition of an action from a partially observed video stream where the activity is potentially unfinished or even not started. In this work, we propose a novel model that learns a prototypical representation of the full action for each class and uses it to regularize ...
Camporese, Guglielmo +4 more
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