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Motion Region Search Method Based on Shot Characteristic of Coded Image

A technology for encoding images in moving areas, applied in image enhancement, image analysis, image data processing, etc., can solve problems such as poor real-time performance, high time complexity, and inability to fully extract feature pixels, so as to reduce reconstruction time and improve reconstruction The effect of precision

Inactive Publication Date: 2017-05-03
ZHEJIANG UNIV
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Problems solved by technology

The disadvantage of this method is that it is generally not possible to fully extract all the relevant feature pixels, and it is easy to generate holes in the moving entity.
According to the traditional moving target detection method, it needs to be detected from the reconstructed multi-frame images, which has high time complexity and poor real-time performance.

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  • Motion Region Search Method Based on Shot Characteristic of Coded Image
  • Motion Region Search Method Based on Shot Characteristic of Coded Image
  • Motion Region Search Method Based on Shot Characteristic of Coded Image

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Embodiment Construction

[0031] The present invention will be further described below in conjunction with accompanying drawing.

[0032] In the single-image video reconstruction method, the observed image obtained by the pixel equal-time exposure coding method has the same exposure time of each pixel, so it presents the characteristics of clear static background and granular moving area, as shown in the attached figure 1 shown. Aiming at this type of observation image, the present invention discloses a moving area search method by using the granular characteristics of moving objects in the image, so that the moving target information can be obtained without reconstructing multiple frames of images, and the single image Moving object detection. Flow process of the present invention is attached figure 2 As shown, it mainly includes several steps such as high-pass filtering, pixel similarity analysis, 8-neighborhood gradient, region gray weighting and region segmentation.

[0033] Step 1. Acquisition...

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Abstract

The invention discloses a movement region searching method based on a shot characteristic of an encoded image. The movement region searching method based on the shot characteristic of the encoded image is directed to an encoding imaging mode where exposure time of pixels is identical, can realize, with the shot characteristic presented by a movement object in an observation image obtained in the encoding imaging mode, movement region searching and division only from the single observation image through a series of processes of high-pass filtering, pixel similarity analysis, an image 8-neighborhood gradient, region gray weighting, region division and the like, and can be applied to movement target searching and local reconstruction for the single observation image.

Description

technical field [0001] The invention relates to a motion region search method based on the scatter point characteristics of coded images. Background technique [0002] The commonly used methods in moving target detection are mainly optical flow method, frame difference method and background subtraction method. The moving object detection algorithm based on optical flow uses the optical flow equation to calculate the motion state vector of each pixel, so as to find the moving pixels and track them. When the camera moves and the background changes, the optical flow method can also detect the moving target, and can complete the moving target detection and tracking at the same time, but the calculation complexity of this method is high, and it is difficult to achieve real-time monitoring without special hardware support. detection. The inter-frame difference method is the simplest method to detect changes between two adjacent frames of images. Its main idea is to use the diffe...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/215
CPCG06T7/215G06T7/231G06T2207/20024
Inventor 唐超影陈跃庭徐之海李奇冯华君
Owner ZHEJIANG UNIV