Method and system for generating smoking behavior sample based on double-spectrum imaging
A dual-spectrum, imaging technology, applied in manufacturing computing systems, instruments, computing, etc., to achieve the effect of rich images, large amount of data, and simplified production process
Active Publication Date: 2021-04-13
JIAXING HENGCHUANG ELECTRIC POWER GRP CO LTD +1
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Problems solved by technology
In the smoking detection task, it is necessary to collect images of a large number of people smoking. At present, there is no relatively rich public data set related to this task, so manual collection is required.
It is a very difficult task to manually mark, summarize and organize the collected data.
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[0041] The following will clearly and completely describe the technical solutions in the embodiments of the application with reference to the drawings in the embodiments of the application. Apparently, the described embodiments are only some, not all, embodiments of the application. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the scope of protection of this application.
[0042] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the technical field to which this application belongs. The terms used herein in the description of the application are only for the purpose of describing specific embodiments, and are not intended to limit the application.
[0043] In one embodiment, a method for generating smoking behavior samples based on dual-spectral imaging is provided, wher...
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The invention discloses a method and system for generating a smoking behavior sample based on double-spectrum imaging, and the method comprises the steps: carrying out the pixel matching of a visible light camera and an infrared imaging camera, and obtaining a homography transformation matrix; acquiring a visible light image based on the visible light camera, and performing single skeleton detection on figures in the visible light image to obtain human body trunk key points of each figure; acquiring an infrared image based on an infrared imaging camera, performing high-temperature point detection on the infrared image, determining a cigarette end target point in the infrared image, and calculating pixel coordinates of the cigarette end target point in the visible light image through the homography transformation matrix; matching the person with a cigarette end target point; marking the minimum bounding rectangle of the human body trunk key point of the person successfully matched with the cigarette end target point in the visible light image, and completing the manufacturing of the sample data set. According to the method, a manual labeling process is omitted, and the data set making difficulty is reduced.
Description
technical field [0001] The application belongs to the field of artificial intelligence security monitoring, and specifically relates to a method and system for generating smoking behavior samples based on bispectral imaging. Background technique [0002] In many production and construction scenarios such as warehousing, laboratories, and decoration, smoking is an important safety hazard. Limited by cost, currently commonly used smoking detection is smoke alarms or automatic identification through visible light cameras. [0003] At present, the smart monitoring technology based on Convolutional Neural Network (CNN) is more and more developed. CNN is a feedforward neural network based on receptive field and includes convolution calculation, and it is one of the representative algorithms of deep learning. CNN continuously extracts image features and combines fully connected layers to complete classification or regression tasks. It is mainly used for image classification, obje...
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Login to View More IPC IPC(8): G06K9/00G06K9/62
CPCG06V40/20G06F18/22Y02P90/30
Inventor 王勇周子誉王春林李倩单宝旭李畅昊赵宏孙俊杰
Owner JIAXING HENGCHUANG ELECTRIC POWER GRP CO LTD