Abstract: The present disclosure relates to image processing methods and devices. In an example method for processing an image by an electronic device, the method may include acquiring a first preview frame and a second preview frame from at least one sensor. The method may further include determining at least one motion data of at least one image based on the first preview frame and the second preview frame. The method may further include identifying a first segmentation mask associated with the first preview frame. The method may further include estimating a region of interest (ROI) associated with an object present in the first preview frame based on the at least one motion data and the first segmentation mask.

Abstract: An electronic device and a method for human segmentation in an image are provided. The method includes obtaining the image comprising at least one human, performing face detection to detect the human in the image, generating a first human segmentation 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 and obtaining a composite human segmentation representing the detected human by using both of the first human segmentation and the second human segmentation.

Abstract: An electronic device and a method for human segmentation in an image are provided. The method includes obtaining the image comprising at least one human, performing face detection to detect the human in the image, generating a first human segmentation 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 and obtaining a composite human segmentation representing the detected human by using both of the first human segmentation and the second human segmentation.