Detection, tracking and classification of vehicles in urban environments

Computer Science

• Urban Environment 100%
• Gaussian Mixture Model 100%
• level-set method 100%
• Monitoring System 50%
• Classification Algorithm 50%
• Object Detection 50%
• Kalman Filter 50%
• Active Learning 50%
• Learning Rate 50%
• Computational Complexity 50%
• Consecutive Frame 50%
• Segmentation Method 50%
• Object Boundary 50%
• Traffic Monitoring 50%
• Traffic Environment 50%
• Training Dataset 50%
• Gaussian Kernel 50%
• Vehicle Detection 50%
• shape descriptor 50%
• Segmentation Performance 50%
• Majority Voting 50%
• Complex Background 50%
• Variational Formulation 50%