Isoperimetric ratio and double differential-based video target detection method

A target detection and double-difference technology, applied in the field of target detection, can solve the problems of noise "ghosting", interference, etc., to achieve the effect of eliminating noise, improving accuracy and stability, and avoiding over-reliance

Inactive Publication Date: 2017-02-22
XIDIAN UNIV
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Problems solved by technology

[0007] The object of the present invention is to propose a kind of video object detection method based on equiperipheral ratio and double difference to solve the n

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  • Isoperimetric ratio and double differential-based video target detection method
  • Isoperimetric ratio and double differential-based video target detection method
  • Isoperimetric ratio and double differential-based video target detection method

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[0029] The technical solutions and effects of the present invention will be further described below with reference to the accompanying drawings:

[0030] Reference figure 1 The specific implementation process of the present invention includes the following steps:

[0031] Step 1. Perform grayscale processing on the original image.

[0032] A color image refers to an image composed of components of three color channels: red R, green G, and blue B. The existing methods for converting color images into grayscale images include: psychological formula, integer algorithm, integer shift algorithm, etc. This example uses but is not limited to the psychological formula in the existing algorithm to convert the color image into For grayscale images, the steps are as follows:

[0033] 1.1) Read in the color image I at time k k , And convert it into a grayscale image Y at time k k :

[0034] Y k =0.299*R+0.587*G+0.114*B,

[0035] Among them, k represents time, the initial time is k=1, and R repre...

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Abstract

The invention discloses an isoperimetric ratio and double differential-based video target detection method, and mainly solves the problems that conventional inter-frame differential easily generates ''ghost'' and the detection stability is poor. The method is implemented by the steps of 1, performing gray processing on original images to obtain gray images; 2, performing differential operation on two adjacent frames in three continuous frames of the gray images to obtain two differential images; 3, performing isoperimetric ratio segmentation on the two differential images to obtain two segmented images; 4, performing intersection operation on the two segmented images to obtain a double-differential image; and 5, performing morphological filtering on the double-differential image, and determining a target range, thereby realizing effective detection of a target. According to the method, noises and ''ghost'' interferences can be effectively eliminated; excessive dependency on artificially set parameters by an image segmentation result is avoided; the precision and stability of video target detection are improved; and the method can be used for intelligent traffic, intelligent monitoring and surgical instrument locating in a medical navigation surgery.

Description

technical field [0001] The invention belongs to the technical field of target detection, and in particular relates to a video target detection method, which can be used in intelligent traffic systems, intelligent monitoring systems, military target detection systems, and surgical instrument positioning systems in medical navigation operations. Background technique [0002] With the development and application of computer science and artificial intelligence, video surveillance technology has risen rapidly and received widespread attention. A core part of the video surveillance system is the video target detection, the accuracy of the video target detection results will directly affect the accuracy of the follow-up work of the video surveillance system. Therefore, how to improve the accuracy and stability of video target detection has become a key issue in the research of video surveillance systems. [0003] At present, typical video object detection methods mainly include: b...

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Application Information

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IPC IPC(8): G06T7/215G06T7/254
CPCG06T2207/10016
Inventor 姬红兵刘月张文博樊振华贾真珍
Owner XIDIAN UNIV
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