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Dense target detection method, electronic equipment and related product

A technology of dense targets and detection methods, applied in the field of image processing, can solve the problems of inaccurate positioning of bounding boxes and low overall accuracy of dense target detection, and achieve the effect of improving detection accuracy

Pending Publication Date: 2021-04-23
深圳市华尊科技股份有限公司
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  • Claims
  • Application Information

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Problems solved by technology

Although these methods have greatly improved the detection accuracy of dense objects, there is still the problem of inaccurate positioning of the bounding box, and the overall accuracy of dense object detection is not high. Therefore, the problem of how to improve the detection accuracy of dense objects needs to be solved urgently

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  • Dense target detection method, electronic equipment and related product
  • Dense target detection method, electronic equipment and related product
  • Dense target detection method, electronic equipment and related product

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Embodiment Construction

[0027] The terms "first", "second" and the like in the specification and claims of the present application and the above drawings are used to distinguish different objects, rather than to describe a specific order. Furthermore, the terms "include" and "have", as well as any variations thereof, are intended to cover a non-exclusive inclusion. For example, a process, method, system, product or device comprising a series of steps or units is not limited to the listed steps or units, but in a possible example also includes steps or units not listed, or in a Possible examples also include other steps or elements inherent to these processes, methods, products or devices.

[0028] Reference herein to an "embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the present application. The occurrences of this phrase in various places in the specification are not necessarily all ...

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Abstract

The invention discloses a dense target detection method, electronic equipment and a related product. The method comprises the steps of obtaining a to-be-processed image; preprocessing the to-be-processed image to obtain a first image; inputting the first image into a preset neural network model to obtain first candidate box information, wherein the preset neural network model comprises a backbone network, a classification and regression sub-network and a central point detection network, the backbone network is used for obtaining a feature map of the image, and the classification and regression sub-network is used for obtaining candidate box information of the feature map; wherein the central point detection network is used for acquiring a central point feature map of the image, rearranging the acquired regression frame information and acquiring rearranged candidate frame information, and the first candidate frame information is the rearranged candidate frame information; and screening the first candidate box information by adopting a non-maximum suppression mode to obtain second candidate box information. By adopting the embodiment of the invention, the dense target detection precision can be improved.

Description

technical field [0001] The present application relates to the technical field of image processing, in particular to a dense target detection method, electronic equipment and related products. Background technique [0002] As the most basic task in computer vision, target detection mainly solves the problem of classification and positioning of targets, and is widely used in intelligent driving, security monitoring, smart city, human-computer interaction, etc. The dense target detection is to separate the target from the background in complex scenes such as changing background, variable number and scale of targets, and indistinct target features, which is extremely challenging in the field of target detection. At the same time, the demand for applications in the fields of remote sensing object detection, crowd counting, and quality inspection is also increasing. [0003] Although deep learning-based target detection methods have made breakthroughs, such as using deeper and wi...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62
CPCG06V20/52G06V2201/07G06F18/25G06F18/241G06F18/214
Inventor 施宏恩康春生禹世杰程小磊
Owner 深圳市华尊科技股份有限公司