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144
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CVPR
2007
IEEE
16 years 5 months ago
2007
IEEE
We propose a framework for detecting and tracking multiple interacting objects, while explicitly handling the dual problems of fragmentation (an object may be broken into several ...
134
Voted
NIPS
2001
15 years 5 months ago
2001
This paper presents an unsupervised learning algorithm that can derive the probabilistic dependence structure of parts of an object (a moving human body in our examples) automatic...
149
Voted
CVPR
2012
IEEE
13 years 6 months ago
2012
IEEE
Co-segmentation is defined as jointly partitioning multiple images depicting the same or similar object, into foreground and background. Our method consists of a multiplescale mu...
151
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MVA
2007
15 years 3 months ago
2007
The majority of existing tracking algorithms are based on the maximum a posteriori (MAP) solution of a probabilistic framework using a Hidden Markov Model, where the distribution ...
122
Voted
ICIP
2008
IEEE
16 years 5 months ago
2008
IEEE
This paper describes the design procedure followed to generate a ground truth for the evaluation of motion-based algorithms for video-object segmentation. A thorough review and cl...