DocumentCode
160530
Title
Automatic detection of entry into a restricted area
Author
Sivagurunathan, S. ; Piratla, Aditya ; Surendran, Jayalakshmi ; Das, Mangal
Author_Institution
Global R& D Crompton Greaves Ltd. Mumbai, Mumbai, India
fYear
2014
fDate
11-13 July 2014
Firstpage
1
Lastpage
5
Abstract
Detecting people and objects entering and exiting a region of interest is an important problem in the area of video surveillance and is typically called virtual fence detection or trip-zone detection. This work proposes two methods to address this problem. The former method deals with cases where a person or object is crossing a horizontal virtual fence while the person or object is moving in a horizontal direction whereas the latter deals with crossing of virtual fence while the person or object is moving in vertical direction. In the first method, crossing of fence by objects as well as persons is detected through simple temporal differencing based motion detection. To detect objects climbing up or down a fence, a spatio-temporal method is proposed. The proposed methods are evaluated under various real life scenarios and results demonstrate the efficiency of the proposed model as well as the real time performance.
Keywords
image motion analysis; object detection; video signal processing; video surveillance; automatic entry detection; horizontal direction; simple temporal differencing based motion detection; spatio-temporal method; trip-zone detection; vertical direction; video surveillance; virtual fence detection; Cameras; Computer vision; Motion detection; Real-time systems; Sensitivity; Streaming media; Surveillance; False Positives; Moments; ONVIF; Virtual Fence;
fLanguage
English
Publisher
ieee
Conference_Titel
Computing, Communication and Networking Technologies (ICCCNT), 2014 International Conference on
Conference_Location
Hefei
Print_ISBN
978-1-4799-2695-4
Type
conf
DOI
10.1109/ICCCNT.2014.6963126
Filename
6963126
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