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» Markov Random Field Modeling in Computer Vision
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ICCV
2011
IEEE
12 years 6 months ago
Tracking by Sampling Trackers
We propose a novel tracking framework called visual tracker sampler that tracks a target robustly by searching for the appropriate trackers in each frame. Since the real-world trac...
junseok kwon and kyoung mu lee
JMLR
2008
150views more  JMLR 2008»
13 years 9 months ago
Discriminative Learning of Max-Sum Classifiers
The max-sum classifier predicts n-tuple of labels from n-tuple of observable variables by maximizing a sum of quality functions defined over neighbouring pairs of labels and obser...
Vojtech Franc, Bogdan Savchynskyy
ICRA
2006
IEEE
158views Robotics» more  ICRA 2006»
14 years 3 months ago
An Agent-based Mobile Robot System using Configurable SOC Technique
– To make a mobile robot with real-time vision system adapt to the highly dynamic environments and emergencies under the real-time constraints, a significant account of processin...
Yan Meng
MM
2004
ACM
188views Multimedia» more  MM 2004»
14 years 2 months ago
A new method to segment playfield and its applications in match analysis in sports video
With the growing popularity of digitized sports video, automatic analysis of them need be processed to facilitate semantic summarization and retrieval. Playfield plays the fundame...
Shuqiang Jiang, Qixiang Ye, Wen Gao, Tiejun Huang
ICMENS
2003
IEEE
153views Hardware» more  ICMENS 2003»
14 years 2 months ago
Biologically Inspired Intelligent Robots Using Artificial Muscles
Humans throughout history have always sought to mimic the appearance, mobility, functionality, intelligent operation, and thinking process of biological creatures. This field of b...
Yoseph Bar-Cohen