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optical-flow estimation algorithm

SURVEY ON MOTION ESTIMATION METHODS

SURVEY ON MOTION ESTIMATION METHODS

... Motion Estimation (ME) algorithms vary with respect to the a priori information and constraints that employ, as well as the method of computation they use to obtain the ...motion estimation technique to ...

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A Robust Algorithm for Real Time Tracking With Optical Flow

A Robust Algorithm for Real Time Tracking With Optical Flow

... using Optical Flow and Motion Vector Estimation [9] that moving object detection and tracking is an developing exploration field since it has vast applications in traffic inspection, 3D observation, ...

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Implementation of Proficient Technique for Fire Detection and Prevention using Optical Flow Estimation

Implementation of Proficient Technique for Fire Detection and Prevention using Optical Flow Estimation

... a necessary to be taken, before the image data is analyzed. It attempts to remove whatever noise is present and retains the significant information, regardless of the frequency contents of the signal. It is entirely ...

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Vehicle Tracking and Speed Estimation using Optical Flow Method

Vehicle Tracking and Speed Estimation using Optical Flow Method

... This paper presents a novel velocity estimation method for ground vehicles. The task here is to automatically estimate vehicle speed from video sequences acquired with a fixed mounted camera. The vehicle motion is ...

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A review of optical flow models applied for fluid motion estimation

A review of optical flow models applied for fluid motion estimation

... Moreover, extracting some statistical parameters such as the derivative of the vorticity depth is an indicator of the evolution of turbulent structures and expansion factor. The later form (i.e. continuity equation plus ...

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Movement Detection and Moving Object Distinction Based on Optical Flow

Movement Detection and Moving Object Distinction Based on Optical Flow

... An algorithm to estimate motion in video image sequences, with moving object distinction and differentiation, is ...motion estimation is based in three consecutive RGB image frames, which are converted to ...

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Fast Uncertainty Estimation for Deep Learning Based Optical Flow

Fast Uncertainty Estimation for Deep Learning Based Optical Flow

... to optical flow estimation [2], ...local optical flow with Gaussian Mixture Models (GMM). The algorithm [20] was proposed to estimate optical flow in difficult ...

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Light Field Flow Estimation Based on  Occlusion Detection

Light Field Flow Estimation Based on Occlusion Detection

... new optical flow detection approach, which aims to obtain the dense and accurate light field flow ...dense optical flow be- tween it and all the other sub-aperture ...light-field ...

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A Novel Technique of Computational Vision Based Flame Detection Using Optical Flow Estimation

A Novel Technique of Computational Vision Based Flame Detection Using Optical Flow Estimation

... learning algorithm trained directly on intensity values in the ...The optical flow computations in Section II do not reduce dimensionality, as the two M×N images determine the values of the M ・ N, ...

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A New Approach For Image Denoising By Motion Estimation  And Patch-Based Method

A New Approach For Image Denoising By Motion Estimation And Patch-Based Method

... our algorithm compensates the failure of these requirements by introducing patch comparison and denoising in an adapted PCA based ...motion estimation used by our algorithm relies on the ...

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Six DOF Motion Estimation for Teleoperated Flexible Endoscopes Using Optical Flow: A Comparative Study

Six DOF Motion Estimation for Teleoperated Flexible Endoscopes Using Optical Flow: A Comparative Study

... the optical flow, and finding the optimal method for mapping the optical flow to the change in pose of the ...to optical flow ambiguities caused by different motions with similar ...

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Guiding Optical Flow Estimation

Guiding Optical Flow Estimation

... Results from a moving feature extraction technique can be used to guide selection of correct optical flow estimates thus improving the quality of motion extraction. The tests shown are currently single ...

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Research on HS Optical Flow Algorithm Based on Motion Estimation Optimization

Research on HS Optical Flow Algorithm Based on Motion Estimation Optimization

... Moving object detection is to detect the changing area in a sequence image and extract the moving object from the background image. Object classification, tracking, behavior understanding, and other post-treatment ...

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Improved optical flow velocity analysis in SO 2camera images of volcanic plumes – implications for emission-rate retrievals investigated at Mt Etna, Italy and Guallatiri, Chile

Improved optical flow velocity analysis in SO 2camera images of volcanic plumes – implications for emission-rate retrievals investigated at Mt Etna, Italy and Guallatiri, Chile

... volcanoes and anthropogenic sources (e.g. power plants, ships). The camera systems capture the emission plumes at high spatial and temporal resolution. This allows the gas ve- locities in the plume to be retrieved ...

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CRL 95 1 pdf

CRL 95 1 pdf

... Hierarchical basis splines, as well as other multilevel representations such as overcomplete pyra- mids can be viewed as multiresolution priors [Szeliski and Terzopoulos, 1989]. There are two ba- sic approaches to ...

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Motion Pattern Extraction and Event Detection for Automatic Visual Surveillance

Motion Pattern Extraction and Event Detection for Automatic Visual Surveillance

... Cooccurence Methods. These methods take advantage of the advances in document retrieval and natural language pro- cessing. The video is considered as a document and a motion pattern as a bag of words. Rodriguez et al. ...

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A Study on the Effect of Regularization Matrices in Motion Estimation

A Study on the Effect of Regularization Matrices in Motion Estimation

... even more if the i-th singular value (SV) is very small. The calculation of (G T G) -1 can be a difficult task due to this noise amplification phenomenon. Although this text deals with the theoretical aspects of ...

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Parallelization of the optical flow computation in sequences from moving cameras

Parallelization of the optical flow computation in sequences from moving cameras

... the optical flow computation model and allows obtaining accurate results in real ...Lucas-Kanade algorithm into tasks is sim- ilar to that used in our method, although in [28], the pipeline is ...

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CMOS imaging technology with embedded early image processing

CMOS imaging technology with embedded early image processing

... When investigating the resources needed to implement an optical flow computation in chapter 2, references were made to three-dimensional stacking of dies using vertical interconnections. In the case of a ...

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An Efficient Algorithm for Real Time Moving Object Detection using GMM and Optical Flow

An Efficient Algorithm for Real Time Moving Object Detection using GMM and Optical Flow

... and Optical Flow technique for the moving object ...and Optical Flow is faster for moving object detection but it is not more accurate so by using these two approaches design new approach for ...

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