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An agricultural pest detection method based on dynamic track analysis

A technology for agricultural pest and trajectory analysis, applied in instrument, calculation, character and pattern recognition, etc., can solve problems such as inaccuracy and unreliable counting, reduce false detection rate and missed detection rate, improve detection accuracy and robustness sexual effect

Active Publication Date: 2019-05-07
HEFEI INSTITUTES OF PHYSICAL SCIENCE - CHINESE ACAD OF SCI
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Problems solved by technology

[0004] The purpose of the present invention is to provide a method for detecting agricultural pests based on dynamic trajectory analysis to solve the problems of unreliable and inaccurate counting caused by relying on static image recognition and counting in the prior art

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  • An agricultural pest detection method based on dynamic track analysis
  • An agricultural pest detection method based on dynamic track analysis
  • An agricultural pest detection method based on dynamic track analysis

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Embodiment Construction

[0033] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.

[0034] Such as figure 1 As shown, an agricultural pest detection method based on dynamic trajectory analysis includes the following steps:

[0035] S1, recording a section of pest collection video (such as adopting a high-definition camera of 30 frames / second), including N frame images, marking these images in chronological order as I 1 , I 2 ,...,I N .

[0036] S2. Use a sufficient number of marked pest images to train the deep learning target detector, then use the trained deep learning target detector to locate the pests in each frame of images, and obtain the target frame information of the pests in each frame of images in, Respectively represent the center abscissa, center ordinate, height and width of the target frame of the i-th pest in the t-th frame image, t=1,...,N, i=1,...,L, L is the t-th frame image number of pests.

[003...

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Abstract

The invention provides an agricultural pest detection method based on dynamic trajectory analysis. The method comprises the following steps: recording a pest collection video composed of a plurality of frames of images; Positioning pests in each frame of image by adopting the trained deep learning target detector, and obtaining target frame information of the pests in each frame of image; Markingthe falling dynamic positions of the pests; Determining a falling dynamic track of the same pest; And drawing falling dynamic tracks of all the pests, and outputting the number of the falling dynamictracks as the total number of the pests detected in the pest collection video. According to the method, the dynamic information of the pests is obtained by analyzing the falling dynamic tracks of thepests, the false detection rate and the missed detection rate of the pests are reduced, and the detection precision and robustness of the pests are effectively improved.

Description

technical field [0001] The invention relates to the technical field of agricultural pest control, in particular to an agricultural pest detection method based on dynamic track analysis. Background technique [0002] my country is a large agricultural country, and agricultural pests often occur, resulting in a large reduction in crop production. The monitoring of the type and quantity of pests is the premise of precise control of agricultural pests. At present, the identification and counting of pests mainly rely on methods such as manually going to the field to conduct sampling surveys and counting the pests in the traps. These methods are time-consuming and labor-intensive, the workload of monitors is heavy, and the influence of subjective factors is great, so it is impossible to realize real-time prediction and forecast of pests. With the increasing demand for pest identification and the relatively small number of pest identification experts, the application value of pes...

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Application Information

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IPC IPC(8): G06K9/00
Inventor 王红强王儒敬董士风焦林张绳昱王琦进
Owner HEFEI INSTITUTES OF PHYSICAL SCIENCE - CHINESE ACAD OF SCI
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