Results 1 to 10 of about 103,551 (264)
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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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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Automated Fluid Intake Detection Using RGB Videos
Sensors, 2022 Dehydration is a common, serious issue among older adults. It is important to drink fluid to prevent dehydration and the complications that come with it. As many older adults forget to drink regularly, there is a need for an automated approach, tracking intake throughout the day with limited user interaction.
Rachel Cohen +2 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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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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Towards Unconstrained Joint Hand-Object Reconstruction From RGB Videos [PDF]
2021 International Conference on 3D Vision (3DV), 2021 Project website: https://hassony2.github.io/homan ...
Hasson, Yana +3 more
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DRONE REMOTE SENSING FOR THE CONTROLLED CAPTURE OF SIKA DEER (CERVUS NIPPON): CASE STUDY IN VILLAGE OF YAMANAKAKO [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022 In recent years, the population of sika deer in Japan has been increasing, causing animal damage. As for sika deer in the vicinity of the village of Yamanakako, Yamanashi Prefecture, although the total number of individuals is on a downward trend due to ...
N. Miura, H. Saito, T. Hada
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Heart Rate Estimation from Facial Image Sequences of a Dual-Modality RGB-NIR Camera
Sensors, 2023 This paper presents an RGB-NIR (Near Infrared) dual-modality technique to analyze the remote photoplethysmogram (rPPG) signal and hence estimate the heart rate (in beats per minute), from a facial image sequence.
Wen-Nung Lie +3 more
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Visual Recognition in RGB Images and Videos by Learning from RGB-D Data [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2018 In this work, we propose a framework for recognizing RGB images or videos by learning from RGB-D training data that contains additional depth information. We formulate this task as a new unsupervised domain adaptation (UDA) problem, in which we aim to take advantage of the additional depth features in the source domain and also cope with the data ...
Wen Li, Lin Chen, Dong Xu, Luc Van Gool
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