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Publication
323views
16 years 2 months ago
Estimation of Location Uncertainty for Scale Invariant Feature Points
Image feature points are the basis for numerous computer vision tasks, such as pose estimation or object detection. State of the art algorithms detect features that are invariant t...
Bernhard Zeisl, Pierre Fite Georgel, Florian Schwe...
DATE
2008
IEEE
84views Hardware» more  DATE 2008»
16 years 1 months ago
Physically-Aware N-Detect Test Pattern Selection
N-detect test has been shown to have a higher likelihood for detecting defects. However, traditional definitions of Ndetect test do not necessarily exploit the localized characte...
Yen-Tzu Lin, Osei Poku, Naresh K. Bhatti, Ronald D...
ICMCS
2007
IEEE
130views Multimedia» more  ICMCS 2007»
16 years 1 months ago
Mining Information of Attack-Defense Status from Soccer Video Based on Scene Analysis
Video Content is always huge by itself with abundant information. Extracting explicit semantic information has been extensively investigated such as object detection, structure an...
Shuqiang Jiang, Qingming Huang, Wen Gao
IROS
2007
IEEE
162views Robotics» more  IROS 2007»
16 years 1 months ago
Where is your dive buddy: tracking humans underwater using spatio-temporal features
— We present an algorithm for underwater robots to track mobile targets, and specifically human divers, by detecting periodic motion. Periodic motion is typically associated wit...
Junaed Sattar, Gregory Dudek
ICDM
2005
IEEE
271views Data Mining» more  ICDM 2005»
16 years 9 days ago
HOT SAX: Efficiently Finding the Most Unusual Time Series Subsequence
In this work, we introduce the new problem of finding time series discords. Time series discords are subsequences of a longer time series that are maximally different to all the r...
Eamonn J. Keogh, Jessica Lin, Ada Wai-Chee Fu