Title
Crowd Modeling using Temporal Association Rules
Abstract
Understanding crowd behavior has attracted tremendous attention from researchers over the years. In this work, we propose an unsupervised approach for crowd scene modeling and anomaly detection using association rules mining. Using object tracklets, we identify events occurring in the scene, demonstrated by the paths or routes objects take while traversing the scene. Allen’s interval-based tempora...
Year
DOI
Venue
2021
10.1109/ICHMS53169.2021.9582661
2021 IEEE 2nd International Conference on Human-Machine Systems (ICHMS)
Keywords
DocType
ISBN
Machine Vision,Camera Calibration,Euclidean Path Modeling,Image Registration
Conference
978-1-6654-0170-8
Citations 
PageRank 
References 
0
0.34
0
Authors
3
Name
Order
Citations
PageRank
Rizwan Ahmed100.34
Muhammad Shahzad Rafiq200.34
Imran N. Junej300.34