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Target detection method and system

A target detection and target technology, applied in the field of detection, can solve problems such as time-critical requirements, limited computing power, and time-consuming

Active Publication Date: 2021-08-20
XIAMEN MEITUZHIJIA TECH
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Problems solved by technology

After research, it is found that most of the target detection methods require powerful computing power and are very time-consuming, while the computing power in production and life is usually very limited, and the time requirements are relatively strict. Therefore, the target detection method needs to be improved

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Embodiment Construction

[0067] Nowadays, the computing power in production and life is usually very limited, and the requirements for target detection time are relatively strict, and there are also great requirements for power consumption. For example, in many real-time scenarios, video stream data needs to be processed quickly and efficiently. Therefore, there are still many problems in the current target detection scheme in real-time target detection, specifically as follows:

[0068] The models used in the current target detection methods are relatively large. For example, models of hundreds of MB are common in the field of target detection, which makes it difficult to deploy corresponding models on mobile devices with limited storage space, especially in embedded devices. It is difficult to deploy large models, and embedded devices account for the vast majority of time-critical scenarios.

[0069] The current target detection method is time-consuming. For example, it takes more than 100 milliseco...

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Abstract

The disclosure provides a target detection method and system, which relate to the technical field of detection. The target detection method in the present disclosure includes: obtaining the real-time video stream obtained by shooting the target to be detected, detecting the images of every set frame in the real-time video stream, obtaining the latest position of the target to be detected, and converting the current frame image to After the grayscale image is generated, image analysis is performed on the grayscale image to calculate the number of pixels that the target to be detected moves compared to the position of the previous frame image, and the optical flow pyramid is used to calculate the grayscale image converted from the current frame image and the previous frame image. The displacement of each pixel of the target to be detected in the grayscale image converted from the frame image, so that the movement of the target to be detected in the current frame image can be obtained according to the calculated displacement analysis of each pixel of the target to be detected. Offset, based on the mobile offset, the detection rules of the convolutional neural network are corrected, which improves the efficiency of target detection.

Description

technical field [0001] The present disclosure relates to the technical field of detection, and in particular, to a target detection method and system. Background technique [0002] As one of the more important tasks of computer vision, target detection plays a very important role in the process of practical application. Through target detection, the position information of the target can be obtained, which is convenient for subsequent further processing. After research, it is found that most of the target detection methods require powerful computing power and are very time-consuming, while the computing power in production and life is usually very limited, and the time requirements are relatively strict. Therefore, the target detection method needs to be improved. Contents of the invention [0003] The disclosure provides a target detection method and system. [0004] In a first aspect, the present disclosure provides a target detection method, including: [0005] Obtain...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06N3/04G06N3/08
CPCG06N3/08G06V20/41G06V2201/07G06N3/045
Inventor 张毓峰余清洲苏晋展许清泉张伟
Owner XIAMEN MEITUZHIJIA TECH
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