Date of Award
2010
Document Type
Thesis
Publication Status
Version of Record
Submission Date
October 2026
Abstract
Digital video is being used widely in a variety of applications such as entertainment, surveillance and security. Large amount of video in surveillance and security requires systems capable to processing video to automatically detect and recognize events to alleviate the load on humans and enable preventive actions when events are detected. The main objective of this work is the analysis of computer vision techniques and algorithms used to perform automatic detection of events in video sequences. This thesis presents a surveillance system based on optical flow and background subtraction concepts to detect events based on a motion analysis, using an event probability zone definition. Advantages, limitations, capabilities and possible solution alternatives are also discussed. The result is a system capable of detecting events of objects moving in opposing direction to a predefined condition or running in the scene, with precision greater than 50% and recall greater than 80%.
Extent
xi, 91 p. : ill. (some col.)
Recommended Citation
Castellanos, Jimenez Ricardo Augusto, "Event detection in surveillance video" (2010). Electronic Theses and Dissertations 2010 - 2019. 82.
https://digitalcommons.fau.edu/etd_general_6/82
Identifier
FADT1870694
Comments
by Ricardo Augusto Castellanos Jimenez.|Thesis (M.S.C.S.)--Florida Atlantic University, 2010.|Includes bibliography.|Electronic reproduction. Boca Raton, Fla., 2010. Mode of access: World Wide Web.|by Ricardo Augusto Castellanos Jimenez.