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We present Hover Widgets, a new technique for increasing the capabilities of pen-based interfaces. Hover Widgets are implemented by using the pen movements above the display surface, in the trackin...
Trajectories extracted from an object tracker are a valuable source of information to derive describing parameters for traffic situation analysis. In order to ensure the quality of these paramet...
We present a novel mean shift approach in this paper forrobust object tracking based on an inertial potential model.Conventional mean shift based trackers exploit only appear-ance information of obser...
Most feature selection methods for object tracking assume that the labeled samples obtained in the next framesfollow the similar distribution with the samples in the previous frame. However, this assu...
A novel level set method based on on-line discriminativeappearance modeling (DAMLSM) is presented for contourtracking. In contrast with traditional level set models whichemphasize the intensity consis...
Tracking non-rigid objects with significant shape variation incomplex scenario is a difficult problem. Human tracking isa special case of this problem since human body has goodlocal rigid ...
To reduce the side effects and to improve the efficiency of radiation therapy in lung cancer, a pinpoint radiation therapy system is under development. In the system, the movement of lung tumor during...
Methods of Object Tracking     key points  motion detection  camshift  SURF       2009/6/1
This paper presents two methods of object detection/tracking in a video. The first method will use the motion tracking technique combined with density detection which will be described. The second o...
The automatic detection and tracking of multiple skin-colored objects in videos plays important roles in gestural human-computer interaction, such as in gesture and sign language recognition. In this ...
The appearances of the tracked object and its surrounding background usually change during tracking. As for tracking methods using subspace analysis, fixed subspace basis tends to cause tracking failu...
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-temporal variable model ...

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