ED-DCFNet: An unsupervised encoder-decoder neural model for event-driven feature extraction and object tracking

Keyphrases

• Event-based 100%
• Feature Extraction 100%
• Neural Model 100%
• Encoder-decoder 100%
• Object Tracking 100%
• Computational Model 50%
• Learning Framework 50%
• Realistic Scenario 50%
• Frame-based 50%
• Embedded Vision 50%
• Dynamic Environment 50%
• Optical Flow 50%
• High Performance 50%
• Annotated Dataset 50%
• Supervised Learning 50%
• Evaluation Model 50%
• Vision System 50%
• Event Frame 50%
• Cross-domain Learning 50%
• Motion Style 50%
• Lighting Types 50%
• Neuromorphic Camera 50%
• Asynchronous Events 50%
• Event-based Vision 50%
• Pixel Level Processing 50%
• Indoor Scene 50%
• Model Learning 50%
• Shared Features 50%
• Model Building 50%

Computer Science

• Feature Extraction 100%
• Tracking Object 100%
• Computational Modeling 50%
• Annotation 50%
• Learning Framework 50%
• Vision Systems 50%
• Supervised Learning 50%
• Dynamic Environment 50%