An efficient anomaly recognition framework using an attention residual lstm in surveillance videos

Computer Science

• Convolutional Neural Network 100%
• surveillance video 100%
• Lstm 100%
• Smart City 66%
• Time Complexity 66%
• Deep Learning Model 33%
• Video Surveillance 33%
• Training Data 33%
• Long Short-Term Memory Network 33%
• Long Short-Term Memory Networks 33%
• Anomaly Detection 33%
• Generalization Ability 33%
• Smart Surveillance 33%
• Computer Vision Task 33%

Keyphrases

• Lightweight Neural Network 25%