dc.contributor.author |
De Villiers, JP
|
|
dc.contributor.author |
Bachoo, AK
|
|
dc.contributor.author |
Nicolls, FC
|
|
dc.contributor.author |
Le Roux, FPJ
|
|
dc.date.accessioned |
2011-11-18T09:56:00Z |
|
dc.date.available |
2011-11-18T09:56:00Z |
|
dc.date.issued |
2011-04 |
|
dc.identifier.citation |
De Villiers, J., Bachoo, A., Nicolls, F. & Le Roux, F. 2011. Quantitative analysis of the improvement in omnidirectional maritime surveillance and tracking due to real-time image enhancement. http://hdl.handle.net/10204/5312 . |
en_ZA |
dc.identifier.uri |
http://hdl.handle.net/10204/5312
|
|
dc.description |
Defense, Security, and Sensing (DSS11), Orlando World Center Marriott Resort & Convention Centre, Orlando, Florida, USA, 26-28 April 2011 |
en_US |
dc.description.abstract |
Omnidirectional camera systems are used to supplement RADAR in tracking small craft close in to the ship in a maritime environment. They can simultaneously track multiple targets to provide a more complete situational awareness. Due to their wide field of view the targets may be only a few pixels each. The improvement in tracking small boats, after using real-time image enhancement techniques to mitigate the atmospheric blurring and loss of contrast, is evaluated for several common tracking techniques. A differential GPS and geo-alignment of the cameras is used to create a ground truth for objective comparison. |
en_US |
dc.language.iso |
en |
en_US |
dc.relation.ispartofseries |
Workflow request;7181 |
|
dc.subject |
Omnidirectional maritime surveillance |
en_US |
dc.subject |
Maritime |
en_US |
dc.subject |
Surveillance |
en_US |
dc.subject |
Tracking |
en_US |
dc.subject |
Omnidirectional |
en_US |
dc.subject |
Radio detection |
en_US |
dc.subject |
RADAR |
en_US |
dc.subject |
Defence |
en_US |
dc.subject |
Security |
en_US |
dc.subject |
Sensing |
en_US |
dc.title |
Quantitative analysis of the improvement in omnidirectional maritime surveillance and tracking due to real-time image enhancement |
en_US |
dc.type |
Conference Presentation |
en_US |
dc.identifier.apacitation |
De Villiers, J., Bachoo, A., Nicolls, F., & Le Roux, F. (2011). Quantitative analysis of the improvement in omnidirectional maritime surveillance and tracking due to real-time image enhancement. http://hdl.handle.net/10204/5312 |
en_ZA |
dc.identifier.chicagocitation |
De Villiers, JP, AK Bachoo, FC Nicolls, and FPJ Le Roux. "Quantitative analysis of the improvement in omnidirectional maritime surveillance and tracking due to real-time image enhancement." (2011): http://hdl.handle.net/10204/5312 |
en_ZA |
dc.identifier.vancouvercitation |
De Villiers J, Bachoo A, Nicolls F, Le Roux F, Quantitative analysis of the improvement in omnidirectional maritime surveillance and tracking due to real-time image enhancement; 2011. http://hdl.handle.net/10204/5312 . |
en_ZA |
dc.identifier.ris |
TY - Conference Presentation
AU - De Villiers, JP
AU - Bachoo, AK
AU - Nicolls, FC
AU - Le Roux, FPJ
AB - Omnidirectional camera systems are used to supplement RADAR in tracking small craft close in to the ship in a maritime environment. They can simultaneously track multiple targets to provide a more complete situational awareness. Due to their wide field of view the targets may be only a few pixels each. The improvement in tracking small boats, after using real-time image enhancement techniques to mitigate the atmospheric blurring and loss of contrast, is evaluated for several common tracking techniques. A differential GPS and geo-alignment of the cameras is used to create a ground truth for objective comparison.
DA - 2011-04
DB - ResearchSpace
DP - CSIR
KW - Omnidirectional maritime surveillance
KW - Maritime
KW - Surveillance
KW - Tracking
KW - Omnidirectional
KW - Radio detection
KW - RADAR
KW - Defence
KW - Security
KW - Sensing
LK - https://researchspace.csir.co.za
PY - 2011
T1 - Quantitative analysis of the improvement in omnidirectional maritime surveillance and tracking due to real-time image enhancement
TI - Quantitative analysis of the improvement in omnidirectional maritime surveillance and tracking due to real-time image enhancement
UR - http://hdl.handle.net/10204/5312
ER -
|
en_ZA |