Finite-stage machine-based method for detecting abandoned object

A technology of finite state machine and detection method, applied in the field of video legacy detection, can solve problems such as difficult recovery, false alarm, false alarm, etc., and achieve the effect of increasing reliability and reducing complexity

Active Publication Date: 2013-07-31
NANJING XINFANGXIANG INTELLIGENT TECH
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AI Technical Summary

Problems solved by technology

Once there are many targets in the scene, the influence of mutual occlusion and shadows, and the tracking of remnants is wrong, it will interfere with the background model, and it is difficult to restore, resulting in false alarms and false alarms

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  • Finite-stage machine-based method for detecting abandoned object
  • Finite-stage machine-based method for detecting abandoned object
  • Finite-stage machine-based method for detecting abandoned object

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Embodiment Construction

[0046] The technical scheme of the present invention will be further described in detail below in conjunction with the accompanying drawings:

[0047] Such as image 3 As shown, the specific process of the present invention is as follows:

[0048] Step 1: Establish a Gaussian mixture background model, and establish short-term and long-term models according to different learning rates. Extract the foreground and background of the video image. If the pixel belongs to the foreground, it is recorded as 1, otherwise it is 0. In this way, two values ​​are obtained as the transition conditions of the finite state machine;

[0049] Step 2: Establish a finite state machine for each pixel to classify the type of pixel. The classification of each pixel of the two background models is used as a transition condition to push the state of the state machine to change. The state machine is detailed as follows:

[0050] The state machine is composed of input, state set, output, and state transition ...

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Abstract

The invention discloses a finite-stage machine-based method for detecting an abandoned object. The finite-stage machine-based method comprises the steps of: firstly, establishing a Gaussian mixture background model, respectively establishing a short-time background model and a long-time background model according to different learning rates; secondly, establishing a finite-stage machine for each pixel; with results obtained by detection of two different background models with different updating speeds as inputs and a pixel classifying result output by each finite-stage machine as one binary image, carrying out communicated region analysis on the obtained binary image to obtain the shape and contour of the abandoned object by using a region growth method, and working out a rectangular box enclosing the abandoned object; and finally, timing the obtained rectangular box of the abandoned object, and detecting the abandoned object and alarming when a threshold is reached. According to the finite-stage machine-based method, under the condition that the abandoned object is absorbed by two backgrounds, the abandoned object can be always detected according to the pixel history, less false-alarms and wrong-alarms exist in an actual scene, and a good detection effect can also be obtained in an occasion with intensive pedestrian flow without depending on tracking information.

Description

Technical field [0001] The present invention relates to a video remnant detection method, and more particularly to a method for establishing an extended finite state machine to classify each pixel of an image based on a dual background model to detect remnants. Background technique [0002] In recent years, with the spread of terrorism, public safety incidents at home and abroad have occurred frequently, especially when explosives in public places have caused heavy casualties. Video remnants detection is a technical means for criminals to quickly alarm when people are not prepared to place dangerous goods in public places such as terminals and railway stations. At the same time, leftover detection can also be used to detect parking incidents in traffic scenes. [0003] At present, video remnants detection methods mainly use background subtraction to detect remnants. A Gaussian model is established for each pixel in the still camera video image to obtain the background, and the ba...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62
Inventor 廖峰
Owner NANJING XINFANGXIANG INTELLIGENT TECH
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