A target detection and tracking method based on a plurality of irregular ROI

A target detection and irregular technology, applied in the field of computer vision, can solve the problems of affecting the detection effect, low image processing efficiency, and inability to perform accurate processing, etc., and achieve the effect of improving image processing efficiency and high-precision recognition

Pending Publication Date: 2018-05-25
维库(厦门)信息技术有限公司
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AI Technical Summary

Problems solved by technology

At present, target extraction, detection and tracking are mainly performed by collecting images for full-image ROI (region of interest, region of interest) or rectangular ROI setting, and then directly performing face recognition, target detection and tracking on the image in the set ROI. This method has the following problems. If all ROIs need to be processed, a large number of redundant areas need to be processed, and the image processing efficiency is low. If partial ROIs (currently basically pre-fixed graphics, such as rectangles), cannot be accurately processed, affecting the detection effect

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  • A target detection and tracking method based on a plurality of irregular ROI
  • A target detection and tracking method based on a plurality of irregular ROI
  • A target detection and tracking method based on a plurality of irregular ROI

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Embodiment Construction

[0020] Such as figure 1 As shown, a target detection and tracking method based on multiple irregular ROIs includes the following steps:

[0021] Step 1. Select a plurality of irregular ROI regions on the collected original image;

[0022] Step 2, performing a union operation on the above-mentioned multiple ROI regions to obtain a fused region to be detected;

[0023] Step 3, performing an intersection operation on the region to be detected and a blank image to obtain a mask image;

[0024] Step 4. Obtain a composite image by performing an intersection operation on the mask image and the original image;

[0025] Step 5. Perform recognition, target detection and tracking on the to-be-detected area of ​​the synthesized image.

[0026] Preferably, the irregular ROI area in the step 1 is selected along the outline of the interested part on the original image with a brush tool to obtain a closed area.

[0027] Preferably, the step 3 specifically includes: setting the region othe...

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Abstract

The invention provides a target detection and tracking method based on a plurality of irregular ROI. The method comprises the following steps: 1) selecting a plurality of irregular regions of interest(ROI) in collected original images; 2) carrying out set union operation on the plurality of regions of interest (ROI) to obtain a fused region to be detected; 3) carrying out intersection operation on the region to be detected and a blank image to obtain a mask image; 4) carrying out intersection operation on the original images and the mask image to obtain a synthesized image; and 5) carrying out identification, target detection and tracking on the region to be detected of the synthesized image. By selecting different shapes of ROI regions of different original images in a customized mannerand carrying out processing on the regions, the new region is allowed to be close to the shape of detection portion to the maximum degree, a lot of redundant areas are removed and image processing efficiency is improved; and by carrying out fusion on a plurality of regions in different sizes and shapes, high-precision identification, detection and tracking are realized.

Description

technical field [0001] The present invention relates to the technical field of computer vision, in particular to a method for object detection and tracking based on multiple irregular ROIs. Background technique [0002] Vision-based target detection and tracking is an interdisciplinary research topic of many disciplines such as image processing, computer vision, and pattern recognition. It has important theoretical significance and practical application value in the fields of visual monitoring, virtual reality, and human-computer interaction. At present, target extraction, detection and tracking are mainly performed by collecting images for full-image ROI (region of interest, region of interest) or rectangular ROI setting, and then directly performing face recognition, target detection and tracking on the image in the set ROI. This method has the following problems. If all ROIs need to be processed, a large number of redundant areas need to be processed, and the image proces...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/32G06K9/62G06T7/20
CPCG06T7/20G06T2207/20104G06V10/25G06V2201/07G06F18/25
Inventor 林瑞滨王凌云
Owner 维库(厦门)信息技术有限公司
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