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Target detection method and target detection device

A target detection and target technology, applied in the field of image processing, can solve problems such as wrong information and lost information, and achieve the effect of improving efficiency, providing accuracy and avoiding errors.

Inactive Publication Date: 2018-11-23
BEIJING KUANGSHI TECH +1
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  • Abstract
  • Description
  • Claims
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AI Technical Summary

Problems solved by technology

If you use borders to analyze the attributes of pedestrians, it is easy to lose information or introduce wrong information because they are blocked by others

Method used

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  • Target detection method and target detection device
  • Target detection method and target detection device

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Embodiment Construction

[0040] In order to make the objects, technical solutions, and advantages of the present disclosure more apparent, exemplary embodiments according to the present disclosure will be described in detail below with reference to the accompanying drawings. Apparently, the described embodiments are only some of the embodiments of the present disclosure, rather than all the embodiments of the present disclosure, and it should be understood that the present disclosure is not limited by the exemplary embodiments described here. Based on the embodiments of the present disclosure described in the present disclosure, all other embodiments obtained by those skilled in the art without creative efforts shall fall within the protection scope of the present disclosure.

[0041] The present disclosure relates to a neural network-based target detection method, a target detection device, and a computer-readable storage medium using a combination of a convolutional neural network and a feedback neur...

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Abstract

The present disclosure provides a target detection method based on a neural network, a target detection device, and a computer-readable storage medium. The target detection method comprises the following steps: obtaining a continuous frame image to be detected including a target; acquiring first characteristic information of each frame image in the continuous frame image by using a first feedforward neural network; acquiring second feature information of each frame image based on first feature information of each frame image by using a second bidirectional feedback neural network; and acquiring an attribute corresponding to the at least one classifier for each pixel point of the continuous frame image based on the second feature information by using at least one classifier.

Description

technical field [0001] The present disclosure relates to the field of image processing in artificial intelligence (AI), and more specifically, the present disclosure relates to a neural network-based object detection method, an object detection device, and a computer-readable storage medium. Background technique [0002] Object detection is a basic research topic in the field of computer vision, and it has broad application prospects in many aspects such as face recognition, security monitoring, and dynamic tracking. In target detection, video structuring including target pedestrians and vehicles is indispensable in many security applications. Neural networks are a tool for large-scale, multi-parameter optimization. Relying on a large amount of training data, the neural network can learn hidden features that are difficult to summarize in the data, thereby completing multiple complex tasks, such as face detection, image classification, object detection, action tracking, natu...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06N3/04
CPCG06N3/044G06N3/045G06F18/24
Inventor 张弛
Owner BEIJING KUANGSHI TECH
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