Target detection method and device based on fisheye camera and storage medium

A target detection and camera technology, applied in the field of target detection, can solve problems such as low recognition accuracy

Pending Publication Date: 2019-10-25
四川省客车制造有限责任公司 +2
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Problems solved by technology

[0004] In view of this, the main purpose of the present disclosure is to provide a target detection method, device and storage medium based on a fisheye camera, which is used to solve the problem of low recognition accuracy caused by using distorted images collected by a fisheye camera in the related art. technical problem

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  • Target detection method and device based on fisheye camera and storage medium
  • Target detection method and device based on fisheye camera and storage medium
  • Target detection method and device based on fisheye camera and storage medium

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[0077] Specific embodiments of the present disclosure will be described in detail below in conjunction with the accompanying drawings. It should be understood that the specific implementations described here are only used to illustrate and explain the present disclosure, not to limit the present disclosure.

[0078] figure 2 It is a flow chart of a method for object detection based on a fisheye camera shown according to an exemplary embodiment, and the method can be applied to figure 1 The illustrated unmanned vehicle 200 includes:

[0079] S10, acquiring an image characterizing the surrounding environment of the unmanned vehicle;

[0080] S20, correcting the image from a distorted state to a non-distorted state based on the distorted image correction rule of the fisheye camera;

[0081] S30, identify the target in the image based on the target recognition model, wherein the target recognition model is established based on the deep learning Mobilenet-SSD algorithm and the ...

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Abstract

The invention relates to a target detection method and device based on a fisheye camera and a storage medium. The method comprises: acquiring an image representing the surrounding environment of an unmanned vehicle; correcting the image from a distortion state to a non-distortion state based on a distortion image correction rule of the fisheye camera; recognizing a target in the image based on a target recognition model, wherein the target recognition model is established based on a deep learning Mobilenet-SSD algorithm and an AdaBoost algorithm and is obtained by training on a training data set corresponding to the target.. The objective of the invention is to solve the technical problem of low recognition accuracy caused by the fact that a distorted image acquired by a fisheye camera isutilized to recognize a target in related technologies.

Description

technical field [0001] The disclosure belongs to the technical field of target detection, and in particular relates to a target detection method, device and storage medium based on a fisheye camera. Background technique [0002] With the continuous expansion of artificial intelligence applications, unmanned driving technology has become a research hotspot at home and abroad, and is in a stage of rapid development. Unmanned vehicles are intelligent systems that integrate multiple functions such as environmental perception, behavior decision-making, path planning, and navigation control, and are an important part of the Intelligent Traffic System (ITS). Because the fisheye camera can obtain a larger field of view, the fisheye image has been more and more widely used, and many video surveillance systems have installed the fisheye camera. A fisheye lens is generally a wide-angle lens with a focal length less than or equal to 16 nanometers and a field of view approximately equal...

Claims

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Application Information

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IPC IPC(8): G06T3/00G06T5/00G06K9/00G06K9/62
CPCG06T2207/20081G06V20/56G06V10/247G06F18/214G06T3/047G06T5/80Y02T10/40
Inventor 邹应全黄春晓黄凯
Owner 四川省客车制造有限责任公司
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