Exploiting temporal statistics for events analysis and understanding

Author:

Micheloni Christian,Snidaro Lauro,Foresti Gian Luca

Publisher

Elsevier BV

Subject

Computer Vision and Pattern Recognition,Signal Processing

Reference20 articles.

1. Active video-based surveillance systems;Foresti;IEEE Signal Processing Magazine,2005

2. On-line trajectory clustering for anomalous events detection;Piciarelli;Pattern Recognition Letters,2006

3. N. Rota, M. Thonnat, Video sequence interpretation for visual surveillance, in: Proceedings of the Third IEEE International Workshop on Visual Surveillance, Washington, DC, USA, 2000, pp. 59–68.

4. H. Zhong, J. Shi, M. Visontai, Detecting unusual activity in video, in: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, vol. 2, Washington DC, USA, 2004, pp. 819–826.

5. Event detection for intelligent car park video surveillance;Diamantopoulos;Real-Time Imaging,2005

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1. Machine learning for video event recognition;Integrated Computer-Aided Engineering;2021-04-06

2. Abnormal Behavior Recognition Based on Spatio-temporal Context;J INF PROCESS SYST;2020

3. Low-Level Feature Detectors and Descriptors for Smart Image and Video Analysis: A Comparative Study;Intelligent Systems Reference Library;2018

4. Action Recognition for Videos by Long-Term Point Trajectory Analysis with Background Removal;2016 12th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS);2016

5. Selection of Temporal Features for Event Detection in Smart Security;Image Analysis and Processing — ICIAP 2015;2015

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