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Pantograph identification method based on AdaBoost and active shape model

An active shape model and recognition method technology, applied in character and pattern recognition, instruments, computer parts, etc., can solve problems such as poor accuracy

Active Publication Date: 2014-04-23
INST OF REMOTE SENSING & DIGITAL EARTH CHINESE ACADEMY OF SCI
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Problems solved by technology

In view of the poor accuracy of the current image-based online pantograph recognition method in China, it is urgent to develop a new online automatic recognition method for pantograph operating status

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  • Pantograph identification method based on AdaBoost and active shape model
  • Pantograph identification method based on AdaBoost and active shape model
  • Pantograph identification method based on AdaBoost and active shape model

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Embodiment Construction

[0122] The specific embodiments of the present invention will be described in further detail below with reference to the accompanying drawings and embodiments. The following examples are intended to illustrate the present invention, but not to limit the scope of the present invention.

[0123] like figure 1 Shown is the flow chart of the pantograph automatic recognition method based on AdaBoost and active shape model of the embodiment of the present invention, and the present embodiment includes the following steps:

[0124] Step 10: Obtain a pantograph image learning sample set;

[0125] The pantograph image learning sample set in this embodiment includes two sets: the AdaBoost learning sample set: used for training the AdaBoost cascade classifier; the active shape model learning sample set: used for training the pantograph active shape model. Specifically, a number of pantograph images are collected by the pantograph online camera system installed above the catenary of the...

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Abstract

The invention belongs to the technical field of computer digital image processing and mode identification, mainly relates to a pantograph on-line automatic identification method used for an electric traction locomotive, and specifically relates to a pantograph on-line automatic identification method based on AdaBoost and an active shape model. The basic process comprises the following steps: acquiring a plurality of pantograph images through a pantograph on-line shooting system, and forming a pantograph image learning sample set; based on a sample, training to learn to generate the pantograph active shape model and an AdaBoost cascade classifier; utilizing the AdaBoost cascade classifier to perform pantograph detection on newly acquired to-be-identified images; through combination with a pantograph detection result and the pantograph active shape model constructed through learning, accurately matching and identifying pantograph shapes; and finally, performing quantitative detection and analysis on the basis of an accurate matching result. The method provided by the invention can effectively perform on-line automatic quantitative detection on the thickness of a pantograph carbon slide plate, can rapidly perform vehicle maintenance and can save detection cost of pantograph detection.

Description

technical field [0001] The invention belongs to the technical field of computer digital image processing and pattern recognition, and mainly relates to an online automatic recognition method for a pantograph used by an electric traction locomotive, in particular to a pantograph recognition method based on AdaBoost and an active shape model. Background technique [0002] Electric traction locomotive pantograph is a device for electrified railway electric locomotive to receive power from catenary. Damaged pantograph bows and excessive wear of carbon skateboards not only affect the normal power supply of electric locomotives, but even cause interruption of rail traffic. Therefore, the state of the pantograph carbon slide, which is the key equipment for taking current directly in contact with the catenary, is extremely critical. It is related to whether the locomotive can take power from the catenary stably and reliably. In actual management, relevant departments need to conduc...

Claims

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Application Information

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IPC IPC(8): G06K9/66
Inventor 岳安志孟瑜赵忠明汪承义安金杰
Owner INST OF REMOTE SENSING & DIGITAL EARTH CHINESE ACADEMY OF SCI
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