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research:object-tracking [2012/02/15 18:50] c703101 created |
research:object-tracking [2012/02/15 22:43] c703101 [Socker Specifics] |
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While the first two conditions are rather common, the third often suffices to disambiguate different objects. Capitalizing on this is the key innovation of our method. | While the first two conditions are rather common, the third often suffices to disambiguate different objects. Capitalizing on this is the key innovation of our method. | ||
- | This following movie shows a spectacular example of tracking soccer teammates through two- and three-way mutual occlusions ([[/publications#Mathes-2005-BMVC|Mathes & Piater BMVC 2005]]). | + | This following movie shows a spectacular example of tracking soccer teammates through two- and three-way mutual occlusions ([[https://iis.uibk.ac.at/publications#Mathes-2005-BMVC|Mathes & Piater, 2005]]). |
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- | The above movie shows an example of tracking several people through a highly dynamic scene. At the very end, Target 2 is incorrectly merged and Target 3 is lost because the targets undergo strong configurational changes during occlusions. All other targets are correctly tracked through considerable configurational and scale changes as well as strong mutual occlusions ([[/publications#Mathes-2006-DAGM|Mathes & Piater DAGM 2006]]). | + | The above movie shows an example of tracking several people through a highly dynamic scene. At the very end, Target 2 is incorrectly merged and Target 3 is lost because the targets undergo strong configurational changes during occlusions. All other targets are correctly tracked through considerable configurational and scale changes as well as strong mutual occlusions ([[https://iis.uibk.ac.at/publications#Mathes-2006-DAGM|Mathes & Piater, 2006]]). |
==== Socker Specifics ==== | ==== Socker Specifics ==== | ||
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- | We estimate on the fly the external camera calibration with respect to the soccer field by a combination of line tracking and visual odometry ([[/publications#Hayet-2004-BMVC|Hayet, Piater & Verly BMVC 2004]]). See a video of a funny illustration of this principle (here without visual odometry or temporal filtering, thus some residual jitter). | + | We estimate on the fly the external camera calibration with respect to the soccer field by a combination of line tracking and visual odometry ([[https://iis.uibk.ac.at/publications#Hayet-2004-BMVC|Hayet, Piater & Verly, 2004]]). See a video of a funny illustration of this principle (here without visual odometry or temporal filtering, thus some residual jitter). |
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