TY - JOUR
T1 - Event detection for Intelligent Car Park Video Surveillence
AU - [No Value], [No Value]
AU - Spann, Michael
PY - 2005/6/1
Y1 - 2005/6/1
N2 - Intelligent surveillance has become an important research issue due to the high cost and low efficiency of human supervisors, and machine intelligence is required to provide a solution for automated event detection. In this paper we describe a real-time system that has been used for detecting tailgating, an example of complex interactions and activities within a vehicle parking scenario, using an adaptive background learning algorithm and intelligence to overcome the problems of object masking, separation and occlusion. We also show how a generalized framework may be developed for the detection of other complex events. (C) 2005 Elsevier Ltd. All rights reserved.
AB - Intelligent surveillance has become an important research issue due to the high cost and low efficiency of human supervisors, and machine intelligence is required to provide a solution for automated event detection. In this paper we describe a real-time system that has been used for detecting tailgating, an example of complex interactions and activities within a vehicle parking scenario, using an adaptive background learning algorithm and intelligence to overcome the problems of object masking, separation and occlusion. We also show how a generalized framework may be developed for the detection of other complex events. (C) 2005 Elsevier Ltd. All rights reserved.
UR - http://www.scopus.com/inward/record.url?scp=21644463502&partnerID=8YFLogxK
U2 - 10.1016/j.rti.2005.02.002
DO - 10.1016/j.rti.2005.02.002
M3 - Article
SN - 1077-2014
VL - 11
SP - 233
EP - 243
JO - Elsevier - Real time Imaging
JF - Elsevier - Real time Imaging
ER -