Results 1 to 10 of about 1,365,020 (307)
Video Anomaly Detection Based on Improved Time Segmentation Network [PDF]
Jisuanji gongcheng, 2022 Video anomaly detection is an important research topic in the field of computer vision, that is widely used in road monitoring and abnormal event monitoring.Considering the obvious differences between the appearance and motion characteristics of abnormal
HUANG Tao, WU Kaijun, WANG Dicong, BAI Chenshuai, TAO Xiaomiao
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HARP: Personalized Hand Reconstruction from a Monocular RGB Video [PDF]
Computer Vision and Pattern Recognition, 2022 We present HARP (HAnd Reconstruction and Personalization), a personalized hand avatar creation approach that takes a short monocular RGB video of a human hand as input and reconstructs a faithful hand avatar exhibiting a high-fidelity appearance and ...
Korrawe Karunratanakul +3 more
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ODAM: Object Detection, Association, and Mapping using Posed RGB Video [PDF]
IEEE International Conference on Computer Vision, 2021 Localizing objects and estimating their extent in 3D is an important step towards high-level 3D scene understanding, which has many applications in Augmented Reality and Robotics.
Kejie Li +8 more
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MonoClothCap: Towards Temporally Coherent Clothing Capture from Monocular RGB Video [PDF]
International Conference on 3D Vision, 2020 We present a method to capture temporally coherent dynamic clothing deformation from a monocular RGB video input. In contrast to the existing literature, our method does not require a pre-scanned personalized mesh template, and thus can be applied to in ...
Donglai Xiang +3 more
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Using Motion History Images With 3D Convolutional Networks in Isolated Sign Language Recognition
IEEE Access, 2022 Sign language recognition using computational models is a challenging problem that requires simultaneous spatio-temporal modeling of the multiple sources, i.e. faces, hands, body, etc. In this paper, we propose an isolated sign language recognition model
Ozge Mercanoglu Sincan +1 more
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IEEE Access, 2023 This paper proposes three novel feature extraction approaches for human activity recognition in videos. The proposed solutions are based on video coding concepts including motion compensations and coding based feature variables.
Tamer Shanableh
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Isolated Sign Recognition from RGB Video using Pose Flow and Self-Attention
2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2021 Automatic sign language recognition lies at the intersection of natural language processing (NLP) and computer vision. The highly successful transformer architectures, based on multi-head attention, originate from the field of NLP.
Mathieu De Coster +2 more
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Singular Spectrum Analysis for Background Initialization with Spatio-Temporal RGB Color Channel Data
Entropy, 2021 In video processing, background initialization aims to obtain a scene without foreground objects. Recently, the background initialization problem has attracted the attention of researchers because of its real-world applications, such as video ...
Huy D. Le +3 more
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Motion Feature Retrieval in Basketball Match Video Based on Multisource Motion Feature Fusion
Advances in Mathematical Physics, 2022 Both the human body and its motion are three-dimensional information, while the traditional feature description method of two-person interaction based on RGB video has a low degree of discrimination due to the lack of depth information.
Biao Ma, Minghui Ji
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PINA: Learning a Personalized Implicit Neural Avatar from a Single RGB-D Video Sequence [PDF]
Computer Vision and Pattern Recognition, 2022 We present a novel method to learn Personalized Implicit Neural Avatars (PINA) from a short RGB-D sequence. This allows non-expert users to create a detailed and personal-ized virtual copy of themselves, which can be animated with realistic clothing ...
Zijian Dong +5 more
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