Publication
When appearance variation of object and its background, partial occlusion or deterioration in object
images occurs, most existing visual tracking methods tend to fail in tracking ...
ICONIP
2009
13 years 2 months ago
2009
In this paper, we introduce a novel incremental subspace based object tracking algorithm. The two major contributions of our work are the Robust PCA based occlusion handling scheme...
ECCV
2010
Springer
13 years 2 months ago
2010
Springer
Visual tracking is one of the central problems in computer vision. A crucial problem of tracking is how to represent the object. Traditional appearance-based trackers are using inc...
ICASSP
2010
IEEE
13 years 3 months ago
2010
IEEE
The compression of video can reduce the accuracy of tracking algorithms, which is problematic for centralized applications that rely on remotely captured and compressed video for ...
PR
2007
13 years 4 months ago
2007
In this paper, we present a new method for tracking objects with shadows. Traditional motion-based tracking schemes cannot usually distinguish the shadow from the object itself, a...
TCSV
2008
13 years 4 months ago
2008
Object tracking is one of the fundamental problems in computer vision and has received considerable attention in the past two decades. The success of a tracking algorithm relies on...
VIP
2003
13 years 6 months ago
2003
Several approaches to real-time video object tracking are reviewed. A new alternative approach for fast real-time object tracking based on colour thresholding is presented. Tracki...
VIP
2003
13 years 6 months ago
2003
The Continuously Adaptive Mean Shift Algorithm (CamShift) is an adaptation of the Mean Shift algorithm for object tracking that is intended as a step towards head and face trackin...
MVA
2007
13 years 6 months ago
2007
Object tracking in computer vision refers to the task of tracking individual moving objects accurately from one frame to another in an image sequence. Several tracking methods hav...
ICIP
2010
IEEE
13 years 7 months ago
2010
IEEE
