Sub-linear Indexing for Large Scale Object Recognition
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F05%3A03114548" target="_blank" >RIV/68407700:21230/05:03114548 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Sub-linear Indexing for Large Scale Object Recognition
Original language description
Realistic approaches to large scale object recognition, i.e. for detection and localisation of hundreds or more objects, must support sub-linear time indexing. In the paper, we propose a method capable of recognising one of N objects in log(N) time. The.visual memory. is organised as a binary decision tree that is built to minimise average time to decision. Leaves of the tree represent a few local image areas, and each non-terminal node is associated with a .weak classifier.. In the recognition phase,a single invariant measurement decides in which subtree a corresponding image area is sought. The method preserves all the strengths of local affine region methods . robustness to background clutter, occlusion, and large changes of viewpoints. Experimentally we show that it supports near real-time recognition of hundreds of objects with state-of-the-art recognition rates. After the test image is processed (in a second on a current PCs), the recognition via indexing into the visual memory
Czech name
Není k dispozici
Czech description
Není k dispozici
Classification
Type
D - Article in proceedings
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
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Result continuities
Project
<a href="/en/project/GA102%2F03%2F0440" target="_blank" >GA102/03/0440: Recognizing human activities for automated video surveillance</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2005
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
BMVC 2005: Proceedings of the 16th British Machine Vision Conference
ISBN
1-901725-29-4
ISSN
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e-ISSN
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Number of pages
10
Pages from-to
1-10
Publisher name
British Machine Vision Association
Place of publication
London
Event location
Oxford
Event date
Sep 5, 2005
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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