Visual Object Recognition - Traditional Methods Along with Deep Learning Approaches

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F23%3A00578865" target="_blank" >RIV/67985556:_____/23:00578865 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Visual Object Recognition - Traditional Methods Along with Deep Learning Approaches
Original language description
The talk falls into the area of visual Artificial Intelligence (AI), particularly to image recognition by deep networks. In AI applications such as surveillance systems, autonomous robots, unmanned vehicles, drones, etc., cameras and other visual sensors form the “eyes” of the system while image recognition algorithms substitute the visual cortex of the brain. The key requirement is a continuous (possibly real-time) analysis of the visual field and, in that way, preparing the basis for decision and next action planning. The visual analysis may comprise scene segmentation, detection of objects and persons of interest, recognition of their identity and their behaviour, and even prediction of their next actions.
Czech name
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Czech description
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Project
<a href="/en/project/GA21-03921S" target="_blank" >GA21-03921S: Inverse problems in image processing</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
14th Conference of Data Analysis Methods for Software Systems (DAMSS23)
ISBN
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ISSN
2669-0233
e-ISSN
2669-0233
Number of pages
1
Pages from-to
23-23
Publisher name
Vilnius University Press
Place of publication
Vilnius
Event location
Druskininkai
Event date
Nov 30, 2023
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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