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Vehicle adaptive fusion detection method and system

A detection method and vehicle detection technology are applied in the field of vehicle detection of aerial images, which can solve the problems of reducing the amount of calculation, sparse samples, and complex background, and achieve the effects of improving accuracy, improving accuracy and efficiency, and reducing the amount of calculation.

Pending Publication Date: 2022-04-12
XI'AN UNIVERSITY OF ARCHITECTURE AND TECHNOLOGY
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  • Application Information

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Problems solved by technology

Compared with pixel-level and feature-level fusion detection, the decision-level fusion detection algorithm can effectively reduce the amount of calculation, but the fusion method in the existing algorithm is mechanical, and it cannot realize adaptive fusion through perceptual image quality, and c

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  • Vehicle adaptive fusion detection method and system
  • Vehicle adaptive fusion detection method and system

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Embodiment Construction

[0029] In order to enable those skilled in the art to better understand the solutions of the present invention, the following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only It is an embodiment of a part of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts shall fall within the protection scope of the present invention.

[0030] It should be noted that the terms "first" and "second" in the description and claims of the present invention and the above drawings are used to distinguish similar objects, but not necessarily used to describe a specific sequence or sequence. It is to be understood that the data so used are interchangeable under appropriate ...

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Abstract

The invention discloses a vehicle adaptive fusion detection method and system, and the method comprises the steps: carrying out the multi-stage preprocessing of an aerial visible light image and an infrared image which are obtained at the same angle, and carrying out the registration of the visible light image and the infrared image after the multi-stage preprocessing through robust features, according to the method, vehicles in a visible light image and an infrared image are detected respectively, a YOLOv3 algorithm based on multi-feature fusion is established, vehicle real-time detection of the aerial visible light image is accurately realized, and on the basis, a semi-supervised transfer learning algorithm in the aerial infrared image is designed, and vehicle real-time detection of the aerial infrared image is realized. Based on a vehicle adaptive fusion strategy of image quality, vehicle adaptive fusion detection of the aerial visible light infrared image is realized, and the vehicle in the aerial visible light infrared image can be effectively detected.

Description

technical field [0001] The invention relates to a vehicle detection method for aerial images, and relates to a vehicle adaptive fusion detection method and system, in particular to a vehicle adaptive fusion detection method using aerial visible light infrared images. Background technique [0002] Aerial drones have flexible deployment methods, a wide monitoring range, and are not disturbed by ground traffic. They have great potential in traffic monitoring, event warning, and safety inspections. Real-time detection of vehicles using aerial UAV images is one of the mainstream research directions in the field of intelligent traffic video analysis. At present, vehicle detection is mostly based on aerial visible light video. Under low light, rainy, smog and other environmental conditions, the imaging quality is poor; while infrared cameras do not need auxiliary light sources to intervene, and are not sensitive to light, but there is a phenomenon of thermal crossover, which makes ...

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Application Information

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IPC IPC(8): G06V20/17G06V10/80G06V10/82G06N3/04G06N3/08
Inventor 张逊逊彭浪逯晓宇
Owner XI'AN UNIVERSITY OF ARCHITECTURE AND TECHNOLOGY