Search results for "Image sequence"

showing 4 items of 4 documents

A simple and efficient face detection algorithm for video database applications

2000

The objective of this work is to provide a simple and yet efficient tool to detect human faces in video sequences. This information can be very useful for many applications such as video indexing and video browsing. In particular the paper focuses on the significant improvements made to our face detection algorithm presented by Albiol, Bouman and Delp (see IEEE Int. Conference on Image Processing, Kobe, Japan, 1999). Specifically, a novel approach to retrieve skin-like homogeneous regions is presented, which is later used to retrieve face images. Good results have been obtained for a large variety of video sequences. Peer Reviewed

Image segmentationObject detectionbusiness.industryComputer scienceImage processingImage segmentation:Enginyeria de la telecomunicació [Àrees temàtiques de la UPC]Object detectionTelecomunicacióImage sequencesDatabase indexingVideo trackingTelecommunicationVideo databasesVideo browsingComputer visionArtificial intelligenceImage retrievalFace detectionbusinessImage retrievalProceedings 2000 International Conference on Image Processing (Cat. No.00CH37101)
researchProduct

A principal component analysis based method for the Simulation of turbulence-degraded infrared image sequence

1999

Une methode originale de simulation d’images degradees par la turbulence atmospherique est presentee. Les methodes existantes ne permettent de simuler que des images temporellement decorrelees les unes des autres, dans le cas de l ’isoplanetisme ou du faible anisoplanetisme. Dans cet article, une simulation pour le cas de fort anisoplanetisme est proposee et une etude sur l’aspect temporel du phenomene dans le but de construire une sequence d’images degradees, a l’aide de l’analyse en composantes principales est faite. Les images obtenues montrent clairement les effets de lanisoplanetisme et l’evolution temporelle de la turbulence.

PhysicsInfrared imageOpticsbusiness.industryImage sequenceAtmospheric turbulenceElectrical and Electronic EngineeringbusinessHumanitiesComputer communication networksAnnales Des Télécommunications
researchProduct

On the use of LSPIV-based free software programs for the monitoring of river: testing the PIVlab and the FUDAA-LSPIV with synthetic and real image se…

2020

<p>The development of new image-based techniques is allowing a radical change in the environmental monitoring field. The fundamental characteristics of these methods are related to the possibility of obtaining non-intrusive measurements even in adverse circumstances, such as high flow conditions, which may seriously threaten the operators’ safety conditions in traditional approaches.</p><p>Optical techniques, based on the acquisition, analysis and elaboration of sequences of images acquired by digital cameras, are aimed at a complete characterization of the river instantaneous surface velocity field, through the analysis of a floating…

business.industryComputer scienceFUDAA-LSPIVSettore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaLSPIVriver monitoringfield surveyReal imagePIVlabSoftwareynthetic image sequenceComputer visionArtificial intelligencebusiness
researchProduct

Optical Methods for River Monitoring: A Simulation-Based Approach to Explore Optimal Experimental Setup for LSPIV

2021

Recent advances in image-based methods for environmental monitoring are opening new frontiers for remote streamflow measurements in natural environments. Such techniques offer numerous advantages compared to traditional approaches. Despite the wide availability of cost-effective devices and software for image processing, these techniques are still rarely systematically implemented in practical applications, probably due to the lack of consistent operational protocols for both phases of images acquisition and processing. In this work, the optimal experimental setup for LSPIV based flow velocity measurements under different conditions is explored using the software PIVlab, investigating perfo…

lcsh:Hydraulic engineeringComputer scienceGeography Planning and DevelopmentReal-time computingImage processingAquatic ScienceBiochemistrySoftwarelcsh:Water supply for domestic and industrial purposesimage analysislcsh:TC1-978Environmental monitoringparticle image velocimetrySensitivity (control systems)Water Science and TechnologyParametric statisticsenvironmental monitoringlcsh:TD201-500business.industrysynthetic image sequenceSettore ICAR/02 - Costruzioni Idrauliche E Marittime E Idrologiasurface flow velocityParticle image velocimetryFlow velocitySeedingbusinessimage analysiWater
researchProduct