An optimized multi-scale convolutional autoencoder for efficient abnormal event detection using rgb, depth and optical flow data

Computer Science

• Event Detection 100%
• Autoencoder 100%
• Convolutional Neural Network 66%
• Performance Model 66%
• Anomaly Detection 66%
• Leaning Parameter 33%
• Deep Learning Model 33%
• Detection Accuracy 33%
• Object Detection 33%
• Security Measure 33%
• Transfer Learning 33%
• Security Application 33%
• Enhanced Security 33%
• Complex Environment 33%
• Invariant 33%
• Long Short-Term Memory Neural Network 33%
• Detect Anomaly 33%
• surveillance video 33%