@inproceedings{bd252473bb1541ce88bb491e537321a6,
title = "Modular approach for multiple event detection in surveillance videos",
abstract = "In the prevailing law and order situation video surveillance have widespread applications from public places to monitoring and security. In this paper a modular approach has been proposed to detect multiple events in videos. We have divided these events into three broad categories i.e. intrusion, loitering and slip and fall. The proposed approach is divided into primary and secondary analysis. Videos for surveillance have to be passed through the primary analysis, which can be used as an input for the secondary analysis. The proposed system achieved higher accuracy (90 %) than state of the art (85 %) for the aforementioned events. The results have been verified using publically available benchmark datasets.",
keywords = "Abnormal events, Linear kaiman filter, Video surveillance",
author = "Imran Ahmed and Ghulam Masood and Qazi Nida-Ur-rehman and Muharnmad Nawaz and Zahoor Elahi",
year = "2016",
language = "English",
series = "Lecture Notes in Engineering and Computer Science",
publisher = "Newswood Limited",
pages = "484--489",
editor = "Len Gelman and Hukins, {David W.L.} and Ao, {S. I.} and Ao, {S. I.} and Len Gelman and Ao, {S. I.} and Korsunsky, {Alexander M.} and Andrew Hunter",
booktitle = "WCE 2016 - World Congress on Engineering 2016",
note = "World Congress on Engineering 2016, WCE 2016 ; Conference date: 29-06-2016 Through 01-07-2016",
}