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Interdependence between myocardial deformation and perfusion in patients with T2DM and HFpEF: a feature-tracking and stress perfusion CMR study. [PDF]
Cardiovasc DiabetolLi XN +7 more
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Learning Features for Tracking
2007 IEEE Conference on Computer Vision and Pattern Recognition, 2007We treat tracking as a matching problem of detected key-points between successive frames. The novelty of this paper is to learn classifier-based keypoint descriptions allowing to incorporate background information. Contrary to existing approaches, we are able to start tracking of the object from scratch requiring no off-line training phase before ...
Michael Grabner +2 more
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2017 10th International Symposium on Computational Intelligence and Design (ISCID), 2017
Multiple kernel learning methods have been successfully applied to visual tracking by finding the best combination of the kernels using boosting techniques. However, they are still not effective in tracking objects with large appearance variations and are not able to generate qualified combinations.
Shaokun Feng, Yanan Zhao
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Multiple kernel learning methods have been successfully applied to visual tracking by finding the best combination of the kernels using boosting techniques. However, they are still not effective in tracking objects with large appearance variations and are not able to generate qualified combinations.
Shaokun Feng, Yanan Zhao
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The Efficient Features for Tracking
2008 20th IEEE International Conference on Tools with Artificial Intelligence, 2008In computer vision, optical flow is very useful in tracking objects from frame to frame. The well-known KLT (Kanade-Lucas-Tomasi) of the differential method can trace local features through a generalized affine transform explained by six parameters.
Hyeongyong Jeon +3 more
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2010 20th International Conference on Pattern Recognition, 2010
In this paper, we propose a visual tracking approach based on "bag of features" (BoF) algorithm. We randomly sample image patches within the object region in training frames for constructing two codebooks using RGB and LBP features, instead of only one codebook in traditional BoF. Tracking is accomplished by searching for the highest similarity between
Fan Yang 0016 +2 more
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In this paper, we propose a visual tracking approach based on "bag of features" (BoF) algorithm. We randomly sample image patches within the object region in training frames for constructing two codebooks using RGB and LBP features, instead of only one codebook in traditional BoF. Tracking is accomplished by searching for the highest similarity between
Fan Yang 0016 +2 more
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Proceedings of IEEE Conference on Computer Vision and Pattern Recognition CVPR-94, 1994
No feature-based vision system can work unless good features can be identified and tracked from frame to frame. Although tracking itself is by and large a solved problem, selecting features that can be tracked well and correspond to physical points in the world is still hard.
Shi, Jianbo, Tomasi, Carlo
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No feature-based vision system can work unless good features can be identified and tracked from frame to frame. Although tracking itself is by and large a solved problem, selecting features that can be tracked well and correspond to physical points in the world is still hard.
Shi, Jianbo, Tomasi, Carlo
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Computer Vision and Image Understanding, 2011
Accurate feature tracking is the foundation of many high level tasks in computer vision, such as 3D reconstruction and motion analysis. Although there are many feature tracking algorithms, most of them do not maintain information about the error of the data being tracked. Also, due to the difficulty and spatial locality of the problem, existing methods
Leyza Baldo Dorini +1 more
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Accurate feature tracking is the foundation of many high level tasks in computer vision, such as 3D reconstruction and motion analysis. Although there are many feature tracking algorithms, most of them do not maintain information about the error of the data being tracked. Also, due to the difficulty and spatial locality of the problem, existing methods
Leyza Baldo Dorini +1 more
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Track-to-track association for tracks with features and attributes
SPIE Proceedings, 2005The problem of track-to-track association - a prerequisite for fusion of tracks - has been considered in the literature only for tracks described by kinematic states. The association of tracks from a common target can also be solved using additional feature or attribute variables which are associated with those tracks. We extend the existing results to
Yaakov Bar-Shalom, Huimin Chen
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Hand Tracking with Flocks of Features
2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05), 2005Tracking hands in live video is a challenging task: the hand appearance can change too rapidly for appearance-based trackers to work, and color-based trackers (that do not rely on geometry) have to make limiting assumptions about the background color.
Mathias Kölsch, Matthew Turk 0001
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