Zobrazeno 1 - 10
of 59
pro vyhledávání: '"N. Pérez de la Blanca"'
Publikováno v:
Machine Vision and Applications. 23:135-150
This paper addresses the human action recognition task from optical flow. This task is in itself an interesting problem, given the lack of accuracy and noisy characteristics of the optical flow estimation. Optical flow is one of the most popular desc
Publikováno v:
EUSIPCO
Millimeter Wave (MMW) imaging systems are currently being used to detect hidden threats. Unfortunately the current performance of detection algorithms is very poor due to the presence of severe noise, the low resolution of MMW images and, in general,
Publikováno v:
Pattern Recognition Letters. 22:323-337
This paper presents a scheme of image retrieval from a database using queries prompted by the colour and the shape of the objects present in different scenes. Of the whole scheme of image retrieval, we will focus attention on the modules that allow f
Autor:
A. Garrido, N. Pérez de la Blanca
Publikováno v:
Pattern Recognition. 31:1003-1017
In this paper we describe a new approach for 2-D object segmentation using an automatic method applied on images with problems as partial information, overlapping objects, many objects in a single scene, severe noise conditions and locating objects w
Publikováno v:
Pattern Recognition. 31:791-804
In this paper we intend to characterize boundaries using the Scale-space theory. The aim we try to achieve is the description of a boundary in relation to a subset of points—dominant points—that are obtained from a new multiscale representation o
Publikováno v:
Machine Vision and Applications 25, 71-84 (2014)
Helvia. Repositorio Institucional de la Universidad de Córdoba
instname
Helvia. Repositorio Institucional de la Universidad de Córdoba
instname
Human Interaction Recognition (HIR) in uncontrolled TV video material is a very challenging problem because of the huge intra-class variability of the classes (due to large differences in the way actions are performed, lighting conditions and camera
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7d82e148b93ea13cd232a5bde2f0bb8f
http://hdl.handle.net/10396/19844
http://hdl.handle.net/10396/19844
Publikováno v:
Computers & Geosciences. 21:397-408
This paper introduces a new method for representing cartographic boundaries using autoregressive model parameters. An autoregressive model is presented to model a time series which describes the correlated shape variations determining the overall sha
Publikováno v:
ResearcherID
Finding the most outstanding perceptual point set on a planar closed outline is the first step in the shape characterization of such curves. In this paper we present an approach to this problem from the joint information provided by a set of outstand
Publikováno v:
Series in Machine Perception and Artificial Intelligence. :i-viii
Publikováno v:
WIAMIS
Graphical models have proved to be very efficient models for labeling image data. In particular, they have been used to label data samples fromhuman body images. In this paper, a DTG-based graphical model is studied for human-body landmark localizati