Results 11 to 20 of about 55,702 (256)
Robust Optical Flow Estimation [PDF]
Image Processing On Line, 2013 n this work, we describe an implementation of the variational method proposed by Brox etal. in 2004, which yields accurate optical flows with low running times.
Javier Sánchez Pérez +2 more
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Optical Flow Estimation with Occlusion Detection [PDF]
Algorithms, 2019 The dense optical flow estimation under occlusion is a challenging task. Occlusion may result in ambiguity in optical flow estimation, while accurate occlusion detection can reduce the error.
Song Wang, Zengfu Wang
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TV-L1 Optical Flow Estimation [PDF]
Image Processing On Line, 2013 This article describes an implementation of the optical flow estimation method introduced by Zach, Pock and Bischof in 2007. This method is based on the minimization of a functional containing a data term using the L1 norm and a regularization term using
Javier Sánchez Pérez +2 more
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Towards Anytime Optical Flow Estimation with Event Cameras [PDF]
SensorsEvent cameras respond to changes in log-brightness at the millisecond level, making them ideal for optical flow estimation. However, existing datasets from event cameras provide only low-frame-rate ground truth for optical flow, limiting the research ...
Yaozu Ye +7 more
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Subgrid Variational Optimized Optical Flow Estimation Algorithm for Image Velocimetry [PDF]
Sensors, 2022 The variational optical flow model is used in this work to investigate a subgrid-scale optimization approach for modeling complex fluid flows in image sequences and estimating their two-dimensional velocity fields.
Haoxuan Xu +4 more
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Dense Descriptors for Optical Flow Estimation: A Comparative Study
Journal of Imaging, 2017 Estimating the displacements of intensity patterns between sequential frames is a very well-studied problem, which is usually referred to as optical flow estimation.
Ahmadreza Baghaie +2 more
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Optical flow estimation for a periodic image sequence. [PDF]
IEEE Trans Image Process, 2010 We propose a temporal modeling approach for determining image motion from a sequence of images wherein the inherent motion is periodic over time. To exploit the periodic nature of the motion, we use a Fourier harmonic representation to model the temporal evolution of the motion field for the entire sequence.
Li L, Yang Y.
europepmc +4 more sources
Unsupervised Learning for Depth, Ego-Motion, and Optical Flow Estimation Using Coupled Consistency Conditions [PDF]
Sensors, 2019 Herein, we propose an unsupervised learning architecture under coupled consistency conditions to estimate the depth, ego-motion, and optical flow. Previously invented learning techniques in computer vision adopted a large amount of the ground truth ...
Ji-Hun Mun, Moongu Jeon, Byung-Geun Lee
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Pix2Pix-Based Monocular Depth Estimation for Drones with Optical Flow on AirSim
Sensors, 2022 In this work, we propose a method for estimating depth for an image of a monocular camera in order to avoid a collision for the autonomous flight of a drone.
Tomoyasu Shimada +3 more
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Optical flow estimation for flame detection in videos. [PDF]
IEEE Trans Image Process, 2013 Computational vision-based flame detection has drawn significant attention in the past decade with camera surveillance systems becoming ubiquitous. Whereas many discriminating features, such as color, shape, texture, etc., have been employed in the literature, this paper proposes a set of motion features based on motion estimators.
Mueller M +3 more
europepmc +4 more sources