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Video character separation method and device
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A character and video technology, applied in the field of communication, can solve the problems of poor video adaptability and the inability to separate characters and objects
Active Publication Date: 2015-06-03
HUAWEI TECH CO LTD
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[0003] However, when using the existing technology to segment video characters, the number of components of the Gaussianmixture model is manually set, and the adaptability to various types of videos is not strong, and when using the opening and closing operation to optimize the object segmentation results, it is impossible to segment a complete character object
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Embodiment 1
[0028] Embodiments of the present invention provide a method for video character segmentation, such as figure 1 As shown, the method includes:
[0029] Step 101, performing face detection on the first frame of video image to be processed, to obtain the face area of the person;
[0030] Here, only the first frame image among the video images to be processed is processed. If it is not the first frame video image, the video image can be quickly divided according to the correlation between adjacent video frames.
[0031] Step 102, acquiring foreground seed pixels and background seed pixels according to the face area of the person;
[0032] Step 103, according to the foreground seed pixel and the background seed pixel, respectively calculate the probability that each pixel in the video image is foreground or background;
[0033] Step 104, constructing a graph according to the respective probabilities, and performing graph cutting to obtain person objects.
[0034] An embodim...
Embodiment 2
[0042] Embodiments of the present invention provide a method for video character segmentation, such as image 3 As shown, the method includes:
[0043] Step 301, judging whether the video frame image to be processed is the first frame;
[0044] The purpose of judging whether the current video frame image to be processed is the first frame is that when the current video frame image is not the first frame, the current frame image can be processed according to the result of the segmentation of the video character object of the previous frame, that is, according to the adjacent video frame The correlation of the image is processed, which can speed up the processing speed.
[0045] Step 302, when the video frame image to be processed is the first frame, face detection is performed on the first frame video image to be processed to obtain the face area of the person;
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Abstract
The present invention relates to the technical field of communication. Disclosed are a video character separation method and device, applicable to separation of various video character objects and capable of separating a complete character object in real time. In the technical solution provided by the embodiments of the present invention, human face detection is performed on a first frame of video image to be processed, so as to obtain the character face area, foreground seed pixels and background seed pixels are obtained according to the character face area, the probability of each pixel being the foreground or the background in the video image is calculated respectively according to the foreground seed pixels and the background seed pixels, an image is constructed according to each probability, and image cutting is performed to obtain the character object. The solution provided by the embodiments of the present invention is applicable to video object separation.
Description
technical field [0001] The present invention relates to the field of communication technologies, in particular to a method and device for video character segmentation. Background technique [0002] Object segmentation technology refers to separating the object of interest to the user on the video or image from the background at the pixel level, and the segmented object can be synthesized into a new background. In the existing technology for automatic segmentation of human objects, a Gaussianmixture model is used to establish a background color model, and then the video frame image is subtracted from the established background color model, and threshold segmentation is performed to obtain a foreground object color model. Using the foreground / background color model and the color difference between adjacent pixels to construct a map, the automatic segmentation of human objects is realized through graph cutting, and the cut image is smoothed by morphological opening and closing...
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