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A video motion object dividing method

A moving object and video technology, applied in the video field, can solve the problems of slow segmentation speed, segmentation accuracy, irregular motion of objects and the influence of light, and achieve the effect of reducing computing overhead

Inactive Publication Date: 2005-11-02
深圳市迪威迅股份有限公司
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AI Technical Summary

Problems solved by technology

However, the existing hybrid algorithm has a slow segmentation speed, and the accuracy of the segmentation is easily affected by the irregular motion of the object and the illumination.

Method used

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  • A video motion object dividing method
  • A video motion object dividing method
  • A video motion object dividing method

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Embodiment Construction

[0022] The present invention first performs time-series segmentation on the image, and after completing global motion estimation and compensation and frame difference binarization, it accurately separates the initial region containing the moving object from the background by calculating the continuous difference between multiple frames; The color gradient watershed algorithm divides the initial region into several regions with consistent spatial attributes; finally classifies and merges the regions, which classifies and merges regions by solving the maximum posterior probability of MRF combined with space, timing and neighborhood constraints Accurate object segmentation.

[0023] The technical scheme of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0024] Such as figure 1 The video moving object segmentation method shown comprises the following steps:

[0025] Step 100, perform global motion estimation and compensati...

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Abstract

The present invention relates to division method for video motion object, which comprises that first, take time sequence division to the image, separate the initial zone and background contained motion object; take the following space division and the classification and combination for zones only on initial zone, decrease largely compute consume, increase division speed; according to zone space, time sequence and similarity rate of neighboring region, add space constraint, time sequence constraint, and neighboring region constraint to MRF mode; by computing maximum posterior probability of MRF, classify the zone; finally, divide accurately motion object, and overcome the shortcoming that motion estimation is easy to be affected by irregular motion and light lamination.

Description

technical field [0001] The invention relates to the video field, in particular to a video moving object segmentation method. Background technique [0002] Video moving object segmentation refers to the segmentation of moving objects in video from the background. It is the basis of content-based video applications such as object-based video retrieval, object-oriented video compression coding, and video-based intelligent human-computer interaction. [0003] At present, there are three main types of video object segmentation algorithms: spatial domain algorithms, temporal algorithms, and hybrid algorithms. Spatial domain segmentation is mainly based on spatial attributes such as brightness, color, texture, and edge of the image. It can obtain accurate object contour edges, but because only spatial domain information is used, the segmentation results may not be semantically complete; time-series segmentation is based on time ( Motion) attributes to segment images, such as using...

Claims

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Application Information

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IPC IPC(8): G06T7/20
Inventor 吴思林守勋张勇东
Owner 深圳市迪威迅股份有限公司
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