A Lightweight Gaussian-Based Model for Fast Detection and Classification of Moving Objects

Keyphrases

• Moving Objects 100%
• Fast Classification 100%
• Fast Detection 100%
• Region of Interest 66%
• Faster R-CNN 66%
• Moving Object Detection 66%
• Inference Time 66%
• Computational Resources 33%
• Interest-based 33%
• Classification Task 33%
• Unified Model 33%
• Complex Networks 33%
• Image Classification 33%
• Computer Vision 33%
• Current Solution 33%
• Gaussian Mixture Model 33%
• CNN Architecture 33%
• Detection Classification 33%
• Diverse Solutions 33%
• Feature Extractor 33%
• Surveillance Video 33%
• Fast Search 33%
• Lightweight Solutions 33%
• Computationally Limited 33%
• MobileNetV3 33%
• 2D Object Detection 33%
• Moving Object Recognition 33%

INIS

• detection 100%
• classification 100%
• solutions 75%
• motion 50%
• precision 50%
• algorithms 25%
• images 25%
• computers 25%
• resources 25%
• devices 25%
• surveillance 25%
• vision 25%
• datasets 25%
• architecture 25%
• proposals 25%
• speed 25%
• balances 25%
• mixtures 25%
• unified model 25%

Computer Science

• Convolutional Neural Network 100%
• moving object detection 100%
• Classification Task 50%
• Complex Networks 50%
• Object Detection 50%
• Computational Resource 50%
• Image Classification 50%
• Gaussian Mixture Model 50%
• surveillance video 50%
• Computer Vision 50%