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» Fragment Based Tracking for Scale and Orientation Adaptation
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CVPR
2003
IEEE
14 years 9 months ago
Mean-shift Blob Tracking through Scale Space
The mean-shift algorithm is an efficient technique for tracking 2D blobs through an image. Although the scale of the mean-shift kernel is a crucial parameter, there is presently n...
Robert T. Collins

Publication
264views
13 years 4 months ago
Combined feature evaluation for adaptive visual object tracking
Existing visual tracking methods are challenged by object and background appearance variations, which often occur in a long duration tracking. In this paper, we propose a combined ...
Zhenjun Han, Qixiang Ye, Jianbin Jiao
ICDCSW
2003
IEEE
14 years 28 days ago
A Scalable Hash-Based Mobile Agent Location Mechanism
In this paper, we propose a novel mobile agent tracking mechanism based on hashing. To allow our system to adapt to variable workloads, dynamic rehashing is supported. The propose...
Georgia Kastidou, Evaggelia Pitoura, George Samara...
ISWC
2003
IEEE
14 years 28 days ago
Coarse, Inexpensive, Infrared Tracking for Wearable Computing
We present a novel, inexpensive, coarse tracking system that determines a person’s approximate 2D location and 1D head orientation in an indoor environment. While this coarse tr...
Drexel Hallaway, Tobias Höllerer, Steven Fein...
DAGM
2004
Springer
13 years 11 months ago
Phase Based Image Reconstruction in the Monogenic Scale Space
Abstract. In this paper, we present an approach for image reconstruction from local phase vectors in the monogenic scale space. The local phase vector contains not only the local p...
Di Zang, Gerald Sommer