About this document
Enhancing Video Anomaly Detection with HTSNet by IAES IJAI is a document available to read on EtoBox.
Abnormal behavior exhibited by individuals with particular intentions is common, and when such behavior occurs in public places, it can cause physical and mental harm to others. Considering the rise in the automated approach for anomaly detection in videos, accuracy becomes essential. Most existing models follow a deep learning architecture, which faces challenges due to variations in motion. This research work develops a deep learning based hybrid architecture with temporal and spatial features. The hybrid
- Author
- IAES IJAI
- Language
- EN