Anomaly Detection in Automated Surveillance using Semi-Supervised Autoencoders
Author:
Affiliation:
1. Pakistan Navy Engineering College, National University of Sciences and Technology,Electronics and Power Engineering Department,Karachi,Pakistan
Funder
Higher Education Commission (HEC) of Pakistan
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10374480/10374484/10375040.pdf?arnumber=10375040
Reference38 articles.
1. On the feasibility of using a cognitive model to filter surveillance data
2. A survey of advances in vision-based human motion capture and analysis
3. Learning the distribution of object trajectories for event recognition
4. Vehicle Trajectory Approximation and Classification
5. Online detection of unusual events in videos via dynamic sparse coding
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