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Gait‐D: Skeleton‐based gait feature decomposition for gait recognition
IET Computer Vision, 2022 The general silhouette‐based gait recognition methods usually rely on binary human silhouette, which is easily affected by external factors, making it unsuitable for situations while wearing heavy clothes or carrying objects, etc.
Shuo Gao +3 more
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Dimensional analysis of image motion [PDF]
Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001, 2002 Studies of image motion typically address motion categories on a case-by-case basis. Examples include a moving point, a moving contour, or a 2D optical flow field. The typical assumption made in these studies is that there is a unique velocity at each moving point in the image. In this paper we relax this assumption.
Michael S. Langer, Richard Mann
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A Motion Image Pose Contour Extraction Method Based on B-Spline Wavelet
International Journal of Antennas and Propagation, 2021 In order to improve the accuracy of traditional motion image pose contour extraction and shorten the extraction time, a motion image pose contour extraction method based on B-spline wavelet is proposed.
null Chen chen, Daohui Bi
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Morphological image analysis of quantum motion in billiards [PDF]
Physical Review E, 2000 Morphological image analysis is applied to the time evolution of the probability distribution of a quantum particle moving in two and three-dimensional billiards. It is shown that the time-averaged Euler characteristic of the probability density provides a well defined quantity to distinguish between classically integrable and non-integrable billiards.
Kole, J.S., Michielsen, K., Raedt, H. De
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A Feedback-Based Algorithm for Motion Analysis with Application to Object Tracking
EURASIP Journal on Advances in Signal Processing, 2007 We present a motion detection algorithm which detects direction of motion at sufficient number of points and thus segregates the edge image into clusters of coherently moving points.
P. S. Sastry, Shesha Shah
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Deep learning‐based action recognition with 3D skeleton: A survey
CAAI Transactions on Intelligence Technology, 2021 Action recognition based on 3D skeleton data has attracted much attention due to its wide application, and it is one of the most popular research topics in computer vision. The 3D skeleton data is an effective representation of motion dynamics and is not
Yuling Xing, Jia Zhu
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A state-of-the-art review of image motion deblurring techniques in precision agriculture
Heliyon, 2023 Image motion deblurring is a crucial technology in computer vision that has gained significant attention attracted by its outstanding ability for accurate acquisition of motion image information, processing and intelligent decision making, etc.
Yu Huihui, Li Daoliang, Chen Yingyi
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Motion correction in MR image for analysis of VSRAD using generative adversarial network.
PLoS ONE, 2022 Voxel-based specific region analysis systems for Alzheimer's disease (VSRAD) are clinically used to measure the atrophied hippocampus captured by magnetic resonance imaging (MRI).
Nobukiyo Yoshida +6 more
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De-ghosting in High Dynamic Range Imaging Based on Intensity Scaling Cue
Advances in Electrical and Computer Engineering, 2020 A High Dynamic Range (HDR) image produced from a sequence of low dynamic range (LDR) images can contain motion artefacts (ghosting) if the scene contains moving objects.
SHIM, S.-O +3 more
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The determination of high-resolution spatio-temporal glacier motion fields from time-lapse sequences [PDF]
Earth Surface Dynamics, 2017 This paper presents a comprehensive method for the determination of glacier surface motion vector fields at high spatial and temporal resolution. These vector fields can be derived from monocular terrestrial camera image sequences and are a valuable ...
E. Schwalbe, H.-G. Maas
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