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Robust object tracking algorithm based on sparse eigenbasis
Jing Li
,
Junzheng Wang
School of Automation
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Computer Science
Appearance Variation
50%
Compressive Sensing
50%
Dimensional Subspace
100%
Experimental Result
50%
Loéve Transform
50%
Object Detection Algorithm
50%
Space Representation
50%
Tracking Algorithm
100%
Tracking Object
100%
Engineering
Compressive Sensing
50%
Dimensional Subspace
100%
Experimental Result
50%
Object Tracking Algorithm
100%
Obtains
50%
Space Representation
50%
Tracking Algorithm
50%