Results 11 to 20 of about 33,816,015 (256)
Automatic crowd density and motion analysis in airborne image sequences based on a probabilistic framework [PDF]
, 2011 Real-time monitoring of crowded regions has crucial importance to avoid overload of people in certain areas. Understanding behavioral dynamics of large people groups can also help to estimate future status of underground passages, public areas, or ...
Reinartz, Peter +3 more
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A spatial attentive and temporal dilated (SATD) GCN for skeleton‐based action recognition
CAAI Transactions on Intelligence Technology, 2022 Current studies have shown that the spatial‐temporal graph convolutional network (ST‐GCN) is effective for skeleton‐based action recognition. However, for the existing ST‐GCN‐based methods, their temporal kernel size is usually fixed over all layers ...
Jiaxu Zhang +6 more
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Healthcare Technology Letters, 2019 Depth estimation plays an important role in vision-based laparoscope surgical navigation systems. Most learning-based depth estimation methods require ground truth depth or disparity images for training; however, these data are difficult to obtain in ...
Huoling Luo, Qingmao Hu, Fucang Jia
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Image fusion for dynamic contrast enhanced magnetic resonance imaging [PDF]
, 2004 Twellmann T, Saalbach A, Gerstung O, Leach MO, Nattkemper TW. Image fusion for dynamic contrast enhanced magnetic resonance imaging. Biomed Eng Online. 2004;3(1): 35.BACKGROUND: Multivariate imaging techniques such as dynamic contrast-enhanced magnetic ...
Nattkemper, Tim Wilhelm ; https://orcid.org/ +23 more
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Face anti‐spoofing from the perspective of data sampling
Electronics Letters, 2023 Without deploying face anti‐spoofing countermeasures, face recognition systems can be spoofed by presenting a printed photo, a video, or a silicon mask of a genuine user.
Usman Muhammad, Mourad Oussalah
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Progressive mesh-based motion estimation using partial refinement [PDF]
, 2006 A technique for performing progressive mesh-based motion estimation in a layered fashion is presented. Motion compensation based on image warping provides a block prediction free of block artifacts.
Park, Heechan +5 more
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IET Computer Vision, 2022 Skeleton‐based action recognition algorithms have been widely applied to human action recognition. Graph convolutional networks (GCNs) generalize convolutional neural networks (CNNs) to non‐Euclidean graphs and achieve significant performance in skeleton‐
Lubin Yu +3 more
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Local affine image matching and synthesis based on structural patterns [PDF]
, 2010 A general purpose block-to-block affine transformation estimator is described. The estimator is based on Fourier slice analysis and Fourier spectral alignment.
Park, Heechan +2 more
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Motion computation and visual orientation in flies [PDF]
, 1993 Egelhaaf M, Borst A. Motion computation and visual orientation in flies. Comparative Biochemistry and Physiology, A: Comparative Physiology. 1993;104(4):659-673.Visual orientation greatly relies on the evaluation of the motion patterns received by the ...
Egelhaaf, M. +3 more
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A New Full-Reference Image Quality Metric for Motion Blur Profile Characterization
IEEE Access, 2021 Motion blur is common in images captured by handheld devices, arising from hand, device and/or object motion. To restore sharp images from the images degraded by the motion, it is extremely important to assess the quality of the captured image and its ...
Mohammad Abdullah-Al-Mamun +2 more
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