Real-time infrared target tracking based on ℓ1 minimization and compressive features

Computer Science

• Tracking Algorithm 100%
• Appearance Model 100%
• Modeling 50%
• Experimental Result 50%
• Reconstruction Error 50%
• Sparse Representation 50%
• Lowest Resolution 50%
• Tracking Method 50%
• Dimensional Feature 50%
• Real Time Performance 50%
• Algorithms 50%
• Computational Cost 50%
• Matrix Measurement 50%
• Noise-to-Signal Ratio 50%
• Application 50%
• Image Sequence 50%