Object tracking based on incremental Bi-2DPCA learning with sparse structure

Computer Science

• Tracking Method 100%
• Image Noise 66%
• Modeling 33%
• Experimental Result 33%
• Challenging Scenario 33%
• Principal Component 33%
• Object Representation 33%
• Reconstruction Error 33%
• Representation Model 33%
• Based Object Tracking 33%
• Learning Algorithm 33%
• Real Time Computation 33%
• Coefficient Matrix 33%
• Energy Distribution 33%
• Component Analysis 33%
• Image Sequence 33%
• Observation Likelihood 33%
• Linear Combination 33%
• Computation 33%