Article
Open Access
Tracking and segmentation using min-cut with consecutive shape priors
-
Junqiu Wang
and
Yasushi Yagi
Published/Copyright:
March 31, 2010
Received: 2009-11-25
Accepted: 2010-3-19
Published Online: 2010-3-31
Published in Print: 2010-3-1
© Junqiu Wang et al.
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- A Formalism for Learning from Demonstration*
- Exploring Parameter Space in Reinforcement Learning
- Toward Autonomous, Compliant, Omnidirectional Humanoid Robots for Natural Interaction in Real-Life Settings
- Cognitive map plasticity and imitation strategies to improve individual and social behaviors of autonomous agents
- Soft missing-feature mask generation for Robot Audition
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- Abstract intelligence and cognitive robots
- Tracking and segmentation using min-cut with consecutive shape priors
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Keywords for this article
tracking;
segmentation;
mean-shift;
min-cut;
shape priors;
consecutive shape matching
Creative Commons
BY-NC-ND 3.0
Articles in the same Issue
- A Formalism for Learning from Demonstration*
- Exploring Parameter Space in Reinforcement Learning
- Toward Autonomous, Compliant, Omnidirectional Humanoid Robots for Natural Interaction in Real-Life Settings
- Cognitive map plasticity and imitation strategies to improve individual and social behaviors of autonomous agents
- Soft missing-feature mask generation for Robot Audition
- The NSB control: a behavior-based approach for multi-robot systems
- Abstract intelligence and cognitive robots
- Tracking and segmentation using min-cut with consecutive shape priors
- Voice-awareness control for a humanoid robot consistent with its body posture and movements
