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Object tracking using SIFT features and mean shift
Huiyu Zhou
*
, Yuan Yuan, Chunmei Shi
*
Corresponding author for this work
Computer Science Research Group
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peer-review
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Dive into the research topics of 'Object tracking using SIFT features and mean shift'. Together they form a unique fingerprint.
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Keyphrases
Object Tracking
100%
Mean Shift
100%
Scale-invariant Feature Transform
100%
Tracking Performance
40%
Maximum Likelihood Estimation
20%
Similar Regions
20%
Probability Distribution
20%
Region of Interest
20%
Mutual Support
20%
Tracking Algorithm
20%
Color Histogram
20%
Support Mechanisms
20%
Mean Shift Algorithm
20%
Shift-invariant
20%
Expectation Maximization
20%
Similarity Search
20%
Classical Means
20%
Computer Science
Tracking Object
100%
mean shift
100%
Scale-Invariant Feature Transform
100%
maximum-likelihood
20%
color histogram
20%
Tracking Algorithm
20%
Likelihood Estimation
20%
Shift Algorithm
20%
Similarity Search
20%
Engineering
Feature Transform
100%
Similarities
20%
Region of Interest
20%
Histogram
20%
Tracking Algorithm
20%
Maximization
20%
Experimental Work
20%
Maximum Likelihood Estimation
20%
Earth and Planetary Sciences
Histogram
100%