2108 search results - page 250 / 422 » Tracking in Reinforcement Learning |
136
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ICIP
2007
IEEE
16 years 2 months ago
2007
IEEE
Tracking 3D people from monocular video is often poorly constrained. To mitigate this problem, prior knowledge should be exploited. In this paper, the Gaussian process spatio-temp...
104
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ICCV
2003
IEEE
15 years 5 months ago
2003
IEEE
Conventional tracking approaches assume proximity in space, time and appearance of objects in successive observations. However, observations of objects are often widely separated ...
109
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IJCV
2002
15 years 7 days ago
2002
Abstract. A new, exemplar-based, probabilistic paradigm for visual tracking is presented. Probabilistic mechanisms are attractive because they handle fusion of information, especia...
125
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CVPR
2011
IEEE
14 years 4 months ago
2011
IEEE
Online learned tracking is widely used for it’s adaptive ability to handle appearance changes. However, it introduces potential drifting problems due to the accumulation of erro...
107
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ICCV
2011
IEEE
14 years 17 days ago
2011
IEEE
Online learning has shown to be successful in tracking of previously unknown objects. However, most approaches are limited to a bounding-box representation with fixed aspect rati...