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CVPR
2005
IEEE
14 years 7 months ago
Multiple Object Tracking with Kernel Particle Filter
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...
Cheng Chang, Rashid Ansari, Ashfaq A. Khokhar
TIP
2008
106views more  TIP 2008»
13 years 5 months ago
Robust Control-Based Object Tracking
This correspondence presents a video tracking framework using control-based observer design. It unifies several kernel-based approaches into a consistent theoretical framework by m...
Wei Qu, Dan Schonfeld
CVPR
2005
IEEE
14 years 7 months ago
Mercer Kernels for Object Recognition with Local Features
A new class of kernels for object recognition based on local image feature representations are introduced in this paper. These kernels satisfy the Mercer condition and incorporate...
Siwei Lyu
ICPR
2008
IEEE
14 years 6 months ago
Multi-cue collaborative kernel tracking with cross ratio invariant constraint
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...
Hanqing Lu, Jian Cheng, Lili Ma
ICRA
2009
IEEE
175views Robotics» more  ICRA 2009»
13 years 3 months ago
A combination of particle filtering and deterministic approaches for multiple kernel tracking
Color-based tracking methods have proved to be efficient for their robustness qualities. The drawback of such global representation of an object is the lack of information on its s...
Céline Teuliere, Éric Marchand, Laur...