GPU Accelerated One-pass Algorithm for Computing Minimal Rectangles of Connected Components
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F11%3A00177654" target="_blank" >RIV/68407700:21230/11:00177654 - isvavai.cz</a>
Result on the web
<a href="http://ieeexplore.ieee.org" target="_blank" >http://ieeexplore.ieee.org</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/WACV.2011.5711542" target="_blank" >10.1109/WACV.2011.5711542</a>
Alternative languages
Result language
angličtina
Original language name
GPU Accelerated One-pass Algorithm for Computing Minimal Rectangles of Connected Components
Original language description
The connected component labeling is an essential task for detecting moving objects and tracking them in video surveillance application. Since tracking algorithms are designed for real-time applications, efficiencies of the underlying algorithms become critical. In this paper we present a new one-pass algorithm for computing minimal binding rectangles of all the connected components of background foreground segmented video frames (binary data) using GPU accelerator. The given image frame is scanned oncein raster scan mode and the background foreground transition information is stored in a directed graph where each transition is represented by a node. Further we use GPU acceleration to speed up feature extraction from the image to a directed graph fromwhich minimal bounding rectangles will be computed subsequently. Also we compare the performance of GPU acceleration (Tesla C2050) with the performance of multi-core (up 24 cores) general purpose CPU implementation of the algorithm.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
JA - Electronics and optoelectronics
OECD FORD branch
—
Result continuities
Project
—
Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Applications of Computer Vision (WACV), 2011 IEEE Workshop
ISBN
978-1-4244-9496-5
ISSN
1550-5790
e-ISSN
—
Number of pages
6
Pages from-to
479-484
Publisher name
IEEE Computer Society
Place of publication
Los Alamitos
Event location
Kona, Hawaii
Event date
Jan 5, 2011
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—