Mixed Stage Partial Network and Background Data Augmentation for Surveillance Object Detection

Keyphrases

• Object Detection 100%
• Data Augmentation 100%
• Partial Networking 100%
• Detection Accuracy 50%
• Vehicle Detection 50%
• Training Process 25%
• High Efficiency 25%
• Benchmark Dataset 25%
• Art Objects 25%
• Convolutional Neural Network 25%
• KITTI 25%
• Background Subtraction 25%
• Surveillance Video 25%
• Highly Accurate 25%
• State-of-the-art Models 25%
• Monotone 25%
• Overfitting 25%
• Large Margin 25%
• Object Detection Algorithm 25%
• Road Objects 25%
• Accuracy Degradation 25%
• Autonomous Driving 25%
• Labeling Effort 25%
• Complicated Background 25%
• Efficient Vehicles 25%
• Traffic Flow Estimation 25%
• MS COCO 25%
• Augmentation Techniques 25%
• Mixed Backgrounds 25%
• Detector Background 25%
• Autonomous Traffic 25%
• Background Augmentation 25%

Computer Science

• Object Detection 100%
• Data Augmentation 100%
• Detection Accuracy 50%
• Vehicle Detection 50%
• Training Process 25%
• Convolutional Neural Network 25%
• Background Subtraction 25%
• surveillance video 25%
• Autonomous Driving 25%
• Fitting Problem 25%
• Code Implementation 25%

Engineering

• Road 100%
• Input Image 50%
• Convolutional Neural Network 50%