Method for detecting video stop event based on self-adapting double-background model

The invention discloses a method for detecting a video stop event based on a self-adapting double-background model, which belongs to the field of the automatic detection and tracking of the video target of an intelligent type image monitoring technology (IVS). A self-adapting long/short-effect doubl...

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Hauptverfasser: WANG SHOUHOU, LU SHUXIAN, WU YUEZHOU, XIONG YUNYV, CHEN YANTAO
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creator WANG SHOUHOU
LU SHUXIAN
WU YUEZHOU
XIONG YUNYV
CHEN YANTAO
description The invention discloses a method for detecting a video stop event based on a self-adapting double-background model, which belongs to the field of the automatic detection and tracking of the video target of an intelligent type image monitoring technology (IVS). A self-adapting long/short-effect double-background model is designed and constructed, a quick target detection and tracking method is designed, the automatic stop detection of a stop event is realized by the long-effect tracking of a static/moving target, and an alarm is sent out at real time so as to overcome the defect of the prior art. The method comprises the following steps of: (1) initializing the long/short-effect double-background model; (2) carrying out BLOB target detection, stop target detection, ghost target detection and long/short-effect double-background update; (3) carrying out the quick BLOB target tracking of a heuristic method; (4) detecting the stop event and outputting the alarm; and (5) updating the selectivity of the long/short-e
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subjects ALARM SYSTEMS
CALCULATING
COMPUTING
COUNTING
ELECTRIC COMMUNICATION TECHNIQUE
ELECTRICITY
IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
ORDER TELEGRAPHS
PHYSICS
PICTORIAL COMMUNICATION, e.g. TELEVISION
SIGNALLING
SIGNALLING OR CALLING SYSTEMS
title Method for detecting video stop event based on self-adapting double-background model
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