Escalator retention detection method and system based on Gaussian mixture model

A Gaussian mixture model and detection method technology, applied in character and pattern recognition, image data processing, instruments, etc., to reduce false detection, improve accuracy, and high accuracy

Pending Publication Date: 2020-06-09
HANGZHOU ANMAISHENG INTELLIGENT TECH CO LTD
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  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

[0004] The present invention is to solve the problem of intelligentization of escalator operation moni

Method used

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  • Escalator retention detection method and system based on Gaussian mixture model
  • Escalator retention detection method and system based on Gaussian mixture model
  • Escalator retention detection method and system based on Gaussian mixture model

Examples

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Example Embodiment

[0051] The first embodiment is an escalator detention detection method based on Gaussian mixture model, such as figure 1 As shown, it includes the steps: A) Obtain the surveillance video image of the escalator area through the camera, use the OpenPose deep learning network to extract pedestrian information from the video image, collect the false pedestrian information and the real pedestrian information, and record the false pedestrian information as a negative sample. Record real pedestrian information as a positive sample;

[0052] B) Use the support vector machine method to construct the classification model, use negative samples and positive samples to train the classification model, classify and filter the real-time detected pedestrian information through the trained classification model, retain the real pedestrian information, and remove the false pedestrian information ; Judge whether there is pedestrian information in the escalator entrance area, if yes, go to step C), if ...

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Abstract

The invention relates to the technical field of escalator safety monitoring, and discloses an escalator retention detection method and system based on a Gaussian mixture model. The method comprises the steps: A), extracting pedestrian information from a video image through a deep learning network; B) constructing a classification model by using a machine learning method, and classifying and screening pedestrian information detected in real time; C) constructing a Gaussian mixture model, and obtaining a retention target image of the current frame; D) preprocessing the detention target image toobtain an image in the detention detection area at the entrance and exit of the escalator; E) acquiring a candidate retention target contour by adopting an edge detection algorithm, and judging the area of a candidate retention box; and F) carrying out a candidate retention frame overlapping judgment, and performing retention alarms. Detection and real-time alarm are carried out on retention of articles and passengers at the entrance and exit of the escalator, the purpose of monitoring retention behaviors of the entrance and exit area of the escalator is achieved, and the retention detection accuracy is high.

Description

technical field [0001] The invention relates to the technical field of escalator safety monitoring and image processing, in particular to an escalator retention detection method and system based on a Gaussian mixture model. Background technique [0002] With people's continuous pursuit of a fast lifestyle, the use of escalators is becoming more and more common, and some safety issues and smooth operation of escalators have attracted more and more attention, especially the position of the escalator entrance, including whether the passenger flow at the escalator entrance is congested, Check whether passengers have fallen and whether there are large items stranded. At present, the common practice is to arrange staff to take care of the escalator, and take corresponding measures according to the situation on the spot. Personnel care not only has a high labor cost, but also it is difficult to monitor the passenger flow and its behavior during the use of the escalator in real tim...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/62G06M1/272G06T7/13
CPCG06T7/13G06M1/272G06T2207/10016G06V40/103G06V20/49G06V20/52G06F18/241Y02B50/00
Inventor 胡芬陈南西楼阳冰
Owner HANGZHOU ANMAISHENG INTELLIGENT TECH CO LTD
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