Method and system for monitoring space under bridge based on scale invariant feature transform algorithm

A scale-invariant feature and transformation algorithm technology, applied in the field of image processing, can solve the problems of loss of image information, poor effect of monitoring and early warning of space under bridge, and difficulty in model training, so as to reduce the false alarm rate.

Active Publication Date: 2019-09-03
BEIJING YUNXINGYU TRAFFIC SCI & TECH
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Problems solved by technology

[0004] In order to solve the technical problems of the existing method of monitoring the space under the bridge, such as difficulty in model training, large loss of image information, and poor monitoring an

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  • Method and system for monitoring space under bridge based on scale invariant feature transform algorithm
  • Method and system for monitoring space under bridge based on scale invariant feature transform algorithm

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[0054] Exemplary embodiments of the present invention will now be described with reference to the drawings; however, the present invention may be embodied in many different forms and are not limited to the embodiments described herein, which are provided for the purpose of exhaustively and completely disclosing the present invention. invention and fully convey the scope of the invention to those skilled in the art. The terms used in the exemplary embodiments shown in the drawings do not limit the present invention. In the figures, the same units / elements are given the same reference numerals.

[0055] Unless otherwise specified, the terms (including scientific and technical terms) used herein have the commonly understood meanings to those skilled in the art. In addition, it can be understood that terms defined by commonly used dictionaries should be understood to have consistent meanings in the context of their related fields, and should not be understood as idealized or over...

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Abstract

The invention provides a method and system for monitoring the space under a bridge based on a scale invariant feature transform algorithm. The method and the system are based on a scale invariant feature transform algorithm framework, and are characterized by adjusting the uploaded image automatically shot by the space under the bridge to match the image with an original image, generating a calibration image in combination with an image comparison algorithm, marking different areas of the uploaded image and the original image, finally calculating the SSIM structure similarity of the original image and the calibration image, and setting an alarm threshold value, thereby realizing the monitoring of the space under the bridge. The method and the system can be used for detecting object changesof any size, such as garbage, straw and the like, and the lane occupation operation behavior of a vendor, and can be used for comparing the non-fixed cameras or images which are shot at an approximate fixed angle and have scale deformation and inconsistent shooting angles after rotating, retracting and cutting, so that the false alarm rate of direct comparison is reduced.

Description

technical field [0001] The present invention relates to the field of image processing, and more specifically, to a method and system for monitoring space under bridges based on a scale-invariant feature transformation algorithm. Background technique [0002] The space under the expressway road bridge has always been the top priority in the management of expressways because of its strong concealment and great hazards. There are common problems in the space under the bridge, such as dumping garbage, accumulating sundries, building facilities and even opening factories for operation, which brings great safety hazards to the safety and smoothness of the expressway. The monitoring and management of the space under the bridge is of great significance to intelligent transportation. However, the space under the bridge has problems such as diverse scenes, various and uncertain types of debris piled up, and generally dark light, which brings great challenges to the automatic monitori...

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Application Information

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IPC IPC(8): G06K9/46G06K9/00
CPCG06V20/13G06V10/44G06V10/462
Inventor 马祥晖樊迪李智刘星宇李少丁张恩鹏
Owner BEIJING YUNXINGYU TRAFFIC SCI & TECH
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