Statistical filtering infrared small target detection tracking method based on YOLOv5 and Deepsort

A small target detection and statistical filtering technology, applied in computing, computer parts, instruments, etc., can solve the problems of poor robustness, untargeted region selection strategy, high time complexity, and improve robustness and detection rate. Effect

Pending Publication Date: 2022-06-28
EAST CHINA UNIV OF SCI & TECH
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Problems solved by technology

[0003] Traditional target detection algorithms include area frame selection, feature extraction, and classification. There are two problems: one is that the area selection strategy is not targeted and th

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  • Statistical filtering infrared small target detection tracking method based on YOLOv5 and Deepsort
  • Statistical filtering infrared small target detection tracking method based on YOLOv5 and Deepsort
  • Statistical filtering infrared small target detection tracking method based on YOLOv5 and Deepsort

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Embodiment Construction

[0049] Below in conjunction with the accompanying drawings, preferred embodiments of the present invention are given and described in detail.

[0050] like figure 1 As shown, the present invention provides a statistical filtering infrared small target detection and tracking method based on YOLOv5 and Deepsort, comprising the following steps:

[0051] In step S1, an infrared imaging device is used to collect an image of an infrared small target under a complex background, and a data set of an infrared small target image is obtained. Among them, the complex background refers to the background of trees, less cloudy sky, buildings, continuously changing weather, complex clouds, sea surface and sea and sky.

[0052] Specifically, step S1 includes:

[0053] Step S11 , using an infrared imaging device to perform continuous frame shooting and sampling of one or more aircraft under different complex backgrounds, to obtain an initial image set. The sampling frame rate can be 50ms, 10...

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Abstract

The invention relates to a statistical filtering infrared small target detection tracking method based on YOLOv5 and Deepsort, and the method comprises the steps: S1, collecting an infrared small target image under a complex background through an infrared imaging device, and obtaining an infrared small target image data set; s2, preprocessing the infrared small target image data set to obtain a preprocessed image data set, and dividing the preprocessed image data set into a training set and a verification set; s3, a YOLOv5s model in the YOLOv5 algorithm is trained, and a training set of a Deepsort model is obtained; step S4, inputting the training set of the Deepsort model into the Deepsort model for training, and constructing an infrared small target detection and tracking recognizer; and S5, performing real-time detection and tracking on the infrared small target by using the infrared small target detection and tracking identifier. According to the method, the infrared small target under the complex background can be accurately and quickly detected, and the robustness and the detection rate are improved. In addition, the real-time tracking effect can be achieved.

Description

technical field [0001] The invention relates to the field of target detection and tracking, and more particularly to a statistical filtering infrared small target detection and tracking method based on YOLOv5 and Deepsort. Background technique [0002] At present, target detection technology is widely used in various fields. Infrared small target detection has always been a hot spot in the field of infrared image processing, and its technical research is of great significance to military early warning, pattern recognition, image processing and other fields. However, in the actual scene, the target in the infrared image has a long imaging distance and usually appears in the form of points. In addition, the infrared signal is seriously weakened by the air during the propagation process, so that it usually exists in the form of a Gaussian distributed point target, and it does not have significant shape and texture information. In addition, small infrared targets in complex ba...

Claims

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Application Information

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IPC IPC(8): G06V10/774G06V10/143G06V10/74G06V10/50G06K9/62
CPCG06F18/22G06F18/214
Inventor 杨文舒浩宇陈培陪顾凯峰刘奉奉田腾飞
Owner EAST CHINA UNIV OF SCI & TECH
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