Electronic device and method for automatic human segmentation in image

An electronic device for human segmentation in an image, the electronic device comprising:

• a display;
• a memory storing at least one instruction;
• and
• a processor configured to execute the at least one instruction to:
• obtain the image comprising a human;
• perform face detection to detect the human in the image;
• generate a first human segmentation, without using a machine learning algorithm or neural network model, from the image by comparing a pre-defined full human body template and the detected human;
• generate a second human segmentation from the image by inputting the image to an artificial intelligence trained model;
• obtain a composite human segmentation representing the detected human by using both of the first human segmentation and the second human segmentation;
• and
• apply a bokeh effect in the image based on the composite human segmentation by:
• blurring the image, and
• blending the blurred image and information about the human obtained based on the composite human segmentation,
• wherein each of the first human segmentation and the second human segmentation includes information indicating an outline of a shape of the human, and
• wherein the processor, to generate the second human segmentation from the image, is further configured to execute the at least one instruction to:
• reduce a resolution of the image;
• input the image with the reduced resolution to the artificial intelligence trained model;
• and
• generate the second human segmentation from the image based on an output of the artificial intelligence trained model.

A non-transitory computer-readable recording medium having recorded thereon a program which, when executed by a computer, performs a method of human segmentation in an image, by a device, the method comprising:

• obtaining the image comprising a human;
• performing face detection to detect the human in the image;
• generating a first human segmentation, without using a machine learning algorithm or neural network model, from the image by comparing a pre-defined full human body template and the detected human;
• generating a second human segmentation from the image by inputting the image to an artificial intelligence trained model;
• obtaining a composite human segmentation representing the detected human by using both of the first human segmentation and the second human segmentation;
• and
• applying a bokeh effect in the image based on the composite human segmentation by:
• blurring the image, and
• blending the blurred image and information about the human obtained based on the composite human segmentation,
• wherein each of the first human segmentation and the second human segmentation includes information indicating an outline of a shape of the human, and
• wherein the generating of the second human segmentation from the image comprises:
• reducing a resolution of the image;
• inputting the image with the reduced resolution to the artificial intelligence trained model;
• and
• generating the second human segmentation from the image based on an output of the artificial intelligence trained model.