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Author |
Ahmed Mounir Gad |
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Title |
Object Localization Enhancement by Multiple Segmentation Fusion |
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Year |
2010 |
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CVC Technical Report |
Abbreviated Journal |
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152 |
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no |
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Admin @ si @ Mou2010 |
Serial |
1346 |
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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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2010 |
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CVC Technical Report |
Abbreviated Journal |
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158 |
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no |
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Admin @ si @ Per2010 |
Serial |
1350 |
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Author |
Ekain Artola |
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Title |
Human Attention Map Prediction Combining Visual Features |
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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 |
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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no |
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Admin @ si @ Alm2010 |
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1354 |
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Author |
Hany Salah Eldeen |
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Title |
Colour Naming in Context through a Perceptual Model |
Type |
Report |
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Year |
2009 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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Volume |
130 |
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Corporate Author |
Computer Vision Center |
Thesis |
Master's thesis |
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Place of Publication |
Bellaterra, Barcelona |
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no |
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Call Number |
Admin @ si @ Eld2009 |
Serial |
2389 |
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Author |
Enric Sala |
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Title |
Off-line person-dependent signature verification |
Type |
Report |
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Year |
2009 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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Volume |
146 |
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Corporate Author |
Computer Vision Center |
Thesis |
Master's thesis |
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Place of Publication |
Bellaterra, Barcelona |
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Approved |
no |
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Call Number |
Admin @ si @ Sal2009 |
Serial |
2400 |
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Author |
David Vazquez; David Geronimo; Antonio Lopez |
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Title |
The effect of the distance in pedestrian detection |
Type |
Report |
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Year |
2009 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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Volume |
149 |
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Keywords |
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 signi cantly as a function of distance, a system based on multiple classi ers 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 e ect of the distance in pedestrian detection. We have evaluated three pedestrian detectors (HOG, HAAR and EOH) in two di erent databases (INRIA and Daimler09) for two di erent 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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Master's thesis |
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M.Sc. |
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ADAS |
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no |
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Call Number |
ADAS @ adas @ VGL2009 |
Serial |
1669 |
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Author |
Antonio Lopez; Felipe Lumbreras; Joan Serrat |
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Title |
Efficient computation of local creaseness |
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Year |
1997 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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15 |
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CVC, Bellaterra (Spain) |
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ADAS |
Approved |
no |
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Call Number |
ADAS @ adas @ LLS1997b |
Serial |
527 |
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Author |
Alejandro Gonzalez Alzate |
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Title |
Evaluation of spatiotemporal descriptors for pedestrian detection in video sequences |
Type |
Report |
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Year |
2011 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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Volume |
166 |
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Address |
Bellaterra (Spain) |
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Corporate Author |
Computer Vision Center |
Thesis |
Master's thesis |
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ADAS |
Approved |
no |
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Call Number |
Admin @ si @ Gon2011 |
Serial |
1932 |
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Author |
Monica Piñol |
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Title |
Adaptative Vocabulary Tree for Image Classification using Reinforcement Learning |
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Year |
2010 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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Volume |
162 |
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Bellaterra (Barcelona) |
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Computer Vision Center |
Thesis |
Master's thesis |
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ADAS |
Approved |
no |
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Call Number |
Admin @ si @ Piñ2010 |
Serial |
1936 |
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Author |
Diego Alejandro Cheda |
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Title |
Monocular egomotion estimation for ADAS application |
Type |
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Year |
2009 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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Volume |
148 |
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Corporate Author |
Computer Vision Center |
Thesis |
Ph.D. thesis |
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Bellaterra, Barcelona |
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ADAS |
Approved |
no |
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Call Number |
Admin @ si @ Che2009 |
Serial |
2402 |
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Author |
Javier Marin |
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Title |
Virtual learning for real testing |
Type |
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Year |
2009 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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Volume |
150 |
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Corporate Author |
Computer Vision Center |
Thesis |
Master's thesis |
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Place of Publication |
bell |
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ADAS |
Approved |
no |
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Call Number |
Admin @ si @ Mar2009c |
Serial |
2403 |
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Author |
German Ros |
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Title |
Visual SLAM for Driverless Cars: An Initial Survey |
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2012 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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170 |
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Master's thesis |
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ADAS |
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no |
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Call Number |
Admin @ si @ Ros2012c |
Serial |
2414 |
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Author |
Yainuvis Socarras |
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Title |
Image segmentation for improving pedestrian detection |
Type |
Report |
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Year |
2011 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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Volume |
167 |
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Address |
Bellaterra (Spain) |
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Corporate Author |
Computer Vision Center |
Thesis |
Master's thesis |
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ADAS; |
Approved |
no |
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Call Number |
Admin @ si @ Soc2011 |
Serial |
1933 |
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Author |
Cristhian A. Aguilera-Carrasco |
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Title |
Evaluation of feature detectors and descriptors in VISIBLE-LWIR cross-spectral imaging |
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Report |
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Year |
2014 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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Volume |
177 |
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Keywords |
Multi-spectral; Cross-spectral; Visible-LWIR imaging; Multimodal. |
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Abstract |
This thesis evaluates the performance of different state-of-art feature detectors and descriptors algorithms in the Visible-LWIR cross-spectral scenario. The focus is to determine if current detector and descriptor algorithms can be used to match features between the LWIR spectrum and the visible spectrum in applications such as, visual odometry, object recognition, image registration and stereo vision. An outdoor cross-spectral dataset was created to evaluate the suitability of the different algorithms. The results
show that the tested algorithms are not suitable to the task of matching features across different spectra. The repeatability ratio was smaller than the 30 percent in the best case and in general matched features were not accurate located. Additionally, these results also suggest that is necessary to create new algorithms that take into account the nature of the different spectra, describing characteristics that exist in both spectra such as discontinuities. |
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Master's thesis |
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Notes |
ADAS; 600.076 |
Approved |
no |
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Call Number |
Admin @ si @Agu2014 |
Serial |
2526 |
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