A Moving Object Detection Method Based on Optical Flow and Frame Matching

A technology of moving targets and detection methods, applied in image analysis, image enhancement, instruments, etc., to achieve the effect of high matching accuracy and strong flexibility

Active Publication Date: 2019-01-08
BEIHANG UNIV
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Problems solved by technology

[0009] The technical problem solved by the present invention is to provide a method based on optical flow and inter-frame matching for the detection of moving objects in complex scenes, and to improve the precision and accuracy of object detection by combining the motion segmentation method and the method of first matching and then difference

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  • A Moving Object Detection Method Based on Optical Flow and Frame Matching
  • A Moving Object Detection Method Based on Optical Flow and Frame Matching
  • A Moving Object Detection Method Based on Optical Flow and Frame Matching

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Embodiment Construction

[0042] The present invention will be described in detail below with reference to the drawings and embodiments.

[0043] The steps of the method of the present invention are: (1) Input two frames of images, and preprocess the two frames of images. If the original image is a color image, perform grayscale to obtain a grayscale image; (2) Perform the first rough registration of the two images. Use the phase correlation method for the first coarse registration, estimate the global motion status, and get the overall environment offset component; (3) Calculate the optical flow of the two images to get the optical flow field of the image; (4) Use The optical flow field minus the environment offset component calculated by the coarse registration; (5) Use a threshold to threshold the optical flow field motion amplitude to obtain the moving target area and the non-moving area from which the environment offset is removed; (6) perform Fine registration, extract the feature points of two ima...

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Abstract

The invention relates to a movement target detecting method based on light streams and inter-frame matching. Two frames of images are preprocessed and roughly calibrated, and an overall environment deviation component is calculated; the light stream field of the two frames of images is calculated; the overall environment deviation component is subtracted, and the light stream field movement amplitude is obtained; the light stream field movement amplitude is converted into a threshold, and the movement target area and a non-movement area without the overall environment deviation component are obtained; the two frames of images are precisely matched, and a perspective transformation matrix from the previous frame of image to the subsequent frame of image is calculated; the previous frame ofimage is converted to a coordinate system of the subsequent frame of image through the perspective transformation matrix; differentiation is conducted on the two frames of obtained images, threshold division is conducted on the differentiation result, denoising is conducted through a morphological algorithm, and a plurality of continuous movement target areas are obtained; the continuous movementtarget areas are clustered, and central coordinates of the areas are obtained; the continuous movement target areas with the distances between the central coordinates being smaller than a set threshold are combined to be output, and a detected movement target is obtained.

Description

Technical field [0001] The invention relates to a moving target detection method based on optical flow and frame matching, which is suitable for the detection field of moving targets in complex scenes of high-definition images. Background technique [0002] Target detection technology is an important technology in the field of digital image processing and artificial intelligence. It is dedicated to segmenting candidate targets from a complex background for further tracking and recognition. Target detection is to locate the position and size of the target of interest in the background. According to the target motion situation, it can be divided into two categories: static target detection and moving target detection. [0003] The common methods of moving target detection include: inter-frame difference, background difference and motion segmentation. Inter-frame difference uses the change between frames to realize detection. Common methods include two-frame or three-frame differenc...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/215G06T7/11G06T7/136
CPCG06T7/11G06T7/136G06T7/215G06T2207/20036G06T2207/20056
Inventor 张弘李今杨一帆
Owner BEIHANG UNIV
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