132 search results - page 2 / 27 » Tunable Kernels for Tracking |
95
Voted
CVPR
2003
IEEE
16 years 1 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
16 years 1 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...
108
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ICPR
2008
IEEE
16 years 26 days 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...
105
click to vote
ICIP
2006
IEEE
16 years 1 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...
112
Voted
RAID
2010
Springer
14 years 10 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...