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103
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CVPR
2005
IEEE
16 years 2 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
91
Voted
SSDBM
2000
IEEE
87views Database» more  SSDBM 2000»
15 years 5 months ago
A Tool for Nesting and Clustering Large Objects
In implementations of non-standard database systems, large objects are often embedded within an aggregate of different types, i.e. a tuple. For a given size and access probabilit...
Stefan Dieker, Ralf Hartmut Güting, Miguel Ro...
ICIP
2003
IEEE
16 years 2 months ago
Graph-based object tracking
This paper proposes a model-based methodology for recognizing and tracking objects in digital image sequences. Objects are represented by attributed relational graphs (or ARGs), w...
Cristina Gomila, Fernand Meyer
87
Voted
CDC
2008
IEEE
143views Control Systems» more  CDC 2008»
15 years 7 months ago
Particle filtering using multiple cross-correlations for tracking occluded objects in cluttered scenes
— This paper is concerned with the tracking of partially or entirely occluded objects in a video sequence. We propose certain modifications to the template matching approach, whi...
Arie Nakhmani, Allen Tannenbaum
111
Voted
MVA
2007
137views Computer Vision» more  MVA 2007»
15 years 2 months ago
Object Based Contour Detection by Using Graph-cut on Stereo Image
In the last few years, computer vision and image processing techniques have been developed to solve many problems. One of them, graph cut method is powerful optimization technique...
Taehoon Kang, Jaeseung Yu, Jangseok Oh, Yunhwan Se...