132 search results - page 2 / 27 » Tunable Kernels for Tracking |
CVPR
2003
IEEE
14 years 10 months ago
2003
IEEE
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...
CVPR
2005
IEEE
14 years 10 months ago
2005
IEEE
A new particle filter, Kernel Particle Filter (KPF), is proposed for visual tracking for multiple objects in image sequences. The KPF invokes kernels to form a continuous estimate...
ICPR
2008
IEEE
14 years 9 months ago
2008
IEEE
In this paper, a novel multi-cue collaborative kernel tracking algorithm is proposed. A new constraint based on the property of cross ratio invariant enables tracking of objects i...
ICIP
2006
IEEE
14 years 10 months ago
2006
IEEE
Although more efficient in computation compared to other tracking approaches such as particle filtering, the kernel-based tracking suffers from the "singularity" problem...
RAID
2010
Springer
13 years 6 months ago
2010
Springer
Dynamic kernel memory has been a popular target of recent kernel malware due to the difficulty of determining the status of volatile dynamic kernel objects. Some existing approach...