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Author |
David Vazquez; David Geronimo; Antonio Lopez |
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Title |
The effect of the distance in pedestrian detection |
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Report |
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Year |
2009 |
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CVC Technical Report |
Abbreviated Journal |
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149 |
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Pedestrian Detection |
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Abstract |
Pedestrian accidents are one of the leading preventable causes of death. In order to reduce the number of accidents, in the last decade the pedestrian protection systems have been introduced, a special type of advanced driver assistance systems, in witch an on-board camera explores the road ahead for possible collisions with pedestrians in order to warn the driver or perform braking actions. As a result of the variability of the appearance, pose and size, pedestrian detection is a very challenging task. So many techniques, models and features have been proposed to solve the problem. As the appearance of pedestrians varies signicantly as a function of distance, a system based on multiple classiers specialized on diferent depths is likely to improve the overall performance with respect to a typical system based on a general detector. Accordingly, the main aim of this work is to explore the eect of the distance in pedestrian detection. We have evaluated three pedestrian detectors (HOG, HAAR and EOH) in two dierent databases (INRIA and Daimler09) for two dierent sizes (small and big). By a extensive set of experiments we answer to questions like which datasets and evaluation methods are the most adequate, which is the best method for each size of the pedestrians and why or how do the method optimum parameters vary with respect to the distance |
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ADAS |
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no |
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ADAS @ adas @ VGL2009 |
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1669 |
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Author |
Mohammad Rouhani |
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Title |
3D Data Fitting and Tracking for Real Time Applications |
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2009 |
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CVC Technical Report |
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138 |
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138 |
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Barcelona, Spain |
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Master's thesis |
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invisible;ADAS |
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no |
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Admin @ si @ Rou2009 |
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1150 |
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Author |
Marc Serra |
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Title |
Estimating Intrinsic Images from Physical and Categorical Color Cues |
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2010 |
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CVC Technical Report |
Abbreviated Journal |
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151 |
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CIC |
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no |
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Admin @ si @ Ser2010 |
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1345 |
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Author |
Ahmed Mounir Gad |
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Title |
Object Localization Enhancement by Multiple Segmentation Fusion |
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2010 |
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CVC Technical Report |
Abbreviated Journal |
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152 |
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Call Number |
Admin @ si @ Mou2010 |
Serial |
1346 |
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Author |
Antonio Hernandez |
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Title |
Pose and Face Recovery via Spatio-temporal GrabCut Human Segmentation |
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Report |
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2010 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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153 |
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HUPBA;MILAB |
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no |
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Call Number |
Admin @ si @ Her2010 |
Serial |
1347 |
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Author |
Jorge Bernal; Fernando Vilariño; F. Javier Sanchez |
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Title |
Feature Detectors and Feature Descriptors: Where We Are Now |
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Report |
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Year |
2010 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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Volume |
154 |
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Abstract |
Feature Detection and Feature Description are clearly nowadays topics. Many Computer Vision applications rely on the use of several of these techniques in order to extract the most significant aspects of an image so they can help in some tasks such as image retrieval, image registration, object recognition, object categorization and texture classification, among others. In this paper we define what Feature Detection and Description are and then we present an extensive collection of several methods in order to show the different techniques that are being used right now. The aim of this report is to provide a glimpse of what is being used currently in these fields and to serve as a starting point for future endeavours. |
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800 |
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MV;SIAI |
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no |
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Call Number |
Admin @ si @ BVS2010; IAM @ iam @ BVS2010 |
Serial |
1348 |
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Author |
Lluis Pere de las Heras |
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Title |
Syntactic Model for Semantic Document Analysis |
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Report |
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2010 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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158 |
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no |
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Admin @ si @ Per2010 |
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1350 |
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Author |
Anjan Dutta |
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Title |
Symbol Spotting in Graphical Documents by Serialized Subgraph Matching |
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2010 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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159 |
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Master's thesis |
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DAG |
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no |
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Admin @ si @ Dut2010 |
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1351 |
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Author |
Ekain Artola |
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Title |
Human Attention Map Prediction Combining Visual Features |
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Report |
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2010 |
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CVC Technical Report |
Abbreviated Journal |
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160 |
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Bachelor's thesis |
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Admin @ si @ Art2010 |
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1352 |
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Author |
David Fernandez |
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Title |
Handwritten Word Spotting in Old Manuscript Images using Shape Descriptors |
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Report |
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2010 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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161 |
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DAG |
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no |
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Admin @ si @ Fer2010b |
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1353 |
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Author |
Jon Almazan |
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Title |
Deforming the Blurred Shape Model for Shape Description and Recognition |
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2010 |
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CVC Technical Report |
Abbreviated Journal |
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163 |
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Admin @ si @ Alm2010 |
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1354 |
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Author |
Nataliya Shapovalova |
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Title |
On Importance of Interaction and Context |
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Report |
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2010 |
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CVC Technical Report |
Abbreviated Journal |
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155 |
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ISE |
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Admin @ si @ Sha2010 |
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1355 |
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Author |
Zhanwu Xiong |
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Title |
A Pompd Model for Active Camera Control |
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Report |
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2010 |
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CVC Technical Report |
Abbreviated Journal |
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156 |
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ISE |
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Admin @ si @ Xio2010 |
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1356 |
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Author |
Jaume Garcia |
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Title |
Generalized Active Shape Models Applied to Cardiac Function Analysis |
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Report |
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2004 |
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CVC Technical Report |
Abbreviated Journal |
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78 |
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Cardiac Analysis; Deformable Models; Active Contour Models; Active Shape Models; Tagged MRI; HARP; Contrast Echocardiography. |
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Abstract |
Medical imaging is very useful in the assessment and treatment of many diseases. To deal with the great amount of data provided by imaging scanners and extract quantitative information that physicians can interpret, many analysis algorithms have been developed. Any process of analysis always consists of a first step of segmenting some particular structure. In medical imaging, structures are not always well defined and suffer from noise artifacts thus, ordinary segmentation methods are not well suited. The ones that seem to give better results are those based on deformable models. Nevertheless, despite their capability of mixing image features together with smoothness constraints that may compensate for image irregularities, these are naturally local methods, i. e., each node of the active contour evolve taking into account information about its neighbors and some other weak constraints about flexibility and smoothness, but not about the global shape that they should find. Due to the fact that structures to be segmented are the same for all cases but with some inter and intra-patient variation, the incorporation of a priori knowledge about shape in the segmentation method will provide robustness to it. Active Shape Models is an algorithm based on the creation of a shape model called Point Distribution Model. It performs a segmentation using only shapes similar than those previously learned from a training set that capture most of the variation presented by the structure. This algorithm works by updating shape nodes along a normal segment which often can be too restrictive. For this reason we propose a generalization of this algorithm that we call Generalized Active Shape Models and fully integrates the a priori knowledge given by the Point Distribution Model with deformable models or any other appropriate segmentation method. Two different applications to cardiac imaging of this generalized method are developed and promising results are shown. |
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CVC (UAB) |
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IAM; |
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IAM @ iam @ Gar2004 |
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1513 |
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Author |
Debora Gil |
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Title |
Regularized Curvature Flow |
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2002 |
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CVC Technical Report |
Abbreviated Journal |
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63 |
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Computer Vision Centre |
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IAM; |
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IAM @ iam @ Gil2002 |
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1518 |
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