Anomaly detection through spatio-temporal context modeling in crowded scenes
A novel statistical framework for modeling the intrinsic structure of crowded scenes and detecting abnormal activities is presented in this paper. The proposed framework essentially turns the anomaly detection process into two parts, namely, motion pattern representation and crowded context modelin...
Main Authors: | Lu, T., Wu, L., Ma, X., Shivakumara, P., Tan, C.L. |
---|---|
Format: | Conference or Workshop Item |
Language: | English |
Published: |
2014
|
Subjects: | |
Online Access: | http://eprints.um.edu.my/13089/1/anomaly_detection_through_spation.pdf |
Similar Items
-
A New Technique for Multi-Oriented Scene Text Line Detection and Tracking in Video
by: Wu, L., et al.
Published: (2015) -
A robust arbitrary text detection system for natural scene images
by: Risnumawan, A., et al.
Published: (2014) -
2D and 3D video scene text classification
by: Xu, J., et al.
Published: (2014) -
Graphics and scene text classification in video
by: Xu, J., et al.
Published: (2014) -
TCF-Trans: temporal context fusion transformer for anomaly detection in time series
by: Peng, Xinggan, et al.
Published: (2024)