dc.contributor.author |
Bachoo, AK
|
|
dc.date.accessioned |
2010-01-08T15:05:22Z |
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dc.date.available |
2010-01-08T15:05:22Z |
|
dc.date.issued |
2009-12 |
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dc.identifier.citation |
Bachoo, AK. 2009. Real-time exposure fusion on a mobile computer. 20th Annual Symposium of the Pattern Recognition Association of South Africa (PRASA), 30 November – 1 December 2009, Stellenbosch, South Africa, pp 111-115 |
en |
dc.identifier.uri |
http://hdl.handle.net/10204/3857
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|
dc.description |
20th Annual Symposium of the Pattern Recognition Association of South Africa (PRASA), 30 November – 1 December 2009 |
en |
dc.description.abstract |
Within the context of video surveillance, object and incident detection by an operator is minimized in over- and under-exposed pixels. Multiple different exposures of the same scene can be fused to create a well-balanced and detailed image that is meaningful to a human operator or surveillance system. We present an implementation for real-time video enhancement using videos of varying exposures. The algorithm increases the details in over- or under-exposed areas that are present in a single frame of fixed exposure. The processing power of a mobile computer and its graphics processing unit (GPU) are able to fuse three greyscale videos of resolution 1600×1200 at 20 frames-per-second. |
en |
dc.language.iso |
en |
en |
dc.publisher |
PRASA 2009 |
en |
dc.subject |
Video surveillance |
en |
dc.subject |
Exposure fusion |
en |
dc.subject |
Real-time exposure fusion |
en |
dc.subject |
High Dynamic Range imaging |
en |
dc.subject |
HDR imaging |
en |
dc.subject |
Mobile computer |
en |
dc.subject |
Graphics processing unit |
en |
dc.subject |
GPU |
en |
dc.subject |
PRASA 2009 |
en |
dc.title |
Real-time exposure fusion on a mobile computer |
en |
dc.type |
Conference Presentation |
en |
dc.identifier.apacitation |
Bachoo, A. (2009). Real-time exposure fusion on a mobile computer. PRASA 2009. http://hdl.handle.net/10204/3857 |
en_ZA |
dc.identifier.chicagocitation |
Bachoo, AK. "Real-time exposure fusion on a mobile computer." (2009): http://hdl.handle.net/10204/3857 |
en_ZA |
dc.identifier.vancouvercitation |
Bachoo A, Real-time exposure fusion on a mobile computer; PRASA 2009; 2009. http://hdl.handle.net/10204/3857 . |
en_ZA |
dc.identifier.ris |
TY - Conference Presentation
AU - Bachoo, AK
AB - Within the context of video surveillance, object and incident detection by an operator is minimized in over- and under-exposed pixels. Multiple different exposures of the same scene can be fused to create a well-balanced and detailed image that is meaningful to a human operator or surveillance system. We present an implementation for real-time video enhancement using videos of varying exposures. The algorithm increases the details in over- or under-exposed areas that are present in a single frame of fixed exposure. The processing power of a mobile computer and its graphics processing unit (GPU) are able to fuse three greyscale videos of resolution 1600×1200 at 20 frames-per-second.
DA - 2009-12
DB - ResearchSpace
DP - CSIR
KW - Video surveillance
KW - Exposure fusion
KW - Real-time exposure fusion
KW - High Dynamic Range imaging
KW - HDR imaging
KW - Mobile computer
KW - Graphics processing unit
KW - GPU
KW - PRASA 2009
LK - https://researchspace.csir.co.za
PY - 2009
T1 - Real-time exposure fusion on a mobile computer
TI - Real-time exposure fusion on a mobile computer
UR - http://hdl.handle.net/10204/3857
ER -
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en_ZA |