Mutual On-Line Learning for Detection and Tracking in High-Resolution Images

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F13%3A00239309" target="_blank" >RIV/68407700:21230/13:00239309 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-642-32350-8_15" target="_blank" >http://dx.doi.org/10.1007/978-3-642-32350-8_15</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-642-32350-8_15" target="_blank" >10.1007/978-3-642-32350-8_15</a>

Result language
angličtina
Original language name
Mutual On-Line Learning for Detection and Tracking in High-Resolution Images
Original language description
This paper addresses object detection and tracking in high-resolution omnidirectional images. The foreseen application is a visual subsystem of a rescue robot equipped with an omnidirectional camera, which demands real-time efficiency and robustness against changing viewpoint. Object detectors typically do not guarantee specific frame rate. The detection time may vastly depend on a scene complexity and image resolution. The adapted tracker can often help to overcome the situation, where the appearance of the object is far from the training set. On the other hand, once a tracker is lost, it almost never finds the object again. We propose a combined solution where a very efficient tracker (based on sequential linear predictors) incrementally accommodatesvarying appearance and speeds up the whole process. Next we propose to incrementally update the detector with examples collected by the tracker. We experimentally show that the performance of the combined algorithm, measured by a ratio b
Czech name
—
Czech description
—

Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the International Joint Conference on Computer Vision, Imaging and Computer Graphics. Theory and Applications (VISIGRAPP2011)
ISBN
978-3-642-32349-2
ISSN
1865-0929
e-ISSN
—
Number of pages
17
Pages from-to
240-256
Publisher name
Springer
Place of publication
Heidelberg
Event location
Algarve
Event date
Mar 5, 2011
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—

Similar results(10)