Title :
Surveillance-Oriented Event Detection in Video Streams
Author :
Piciarelli, C. ; Foresti, G.L.
Author_Institution :
Univ. of Udine, Udine, Italy
Abstract :
Using the two main approaches to security-oriented event analysis, explicit event recognition and anomaly detection, the authors attempt to semantically interpret video sequences to detect anomalous, dangerous, or forbidden situations.
Keywords :
image sequences; object detection; security of data; video signal processing; video surveillance; anomaly detection; explicit event recognition; security-oriented event analysis; surveillance-oriented event detection; video sequences; video streams; Computer vision; Event detection; Image sequence analysis; Security; Streaming media; Surveillance; Video sequences; anomaly detection; computer vision; event analysis; explicit event recognition; intelligent systems; video streams;
Journal_Title :
Intelligent Systems, IEEE
DOI :
10.1109/MIS.2010.38
