Camera Auto-Framing With Predictive Cropping for Moving Subjects
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Solution Overview
Problem
Existing electronic devices struggle to automatically track and crop subjects within image frames effectively, particularly in scenarios where the subject is moving, leading to suboptimal framing and composition in captured images.
Innovation Solution
An electronic device equipped with a camera, display, and processor that switches to an auto framing mode upon user input, identifies a subject area and a preset portion, predicts the subject's moving direction, and performs cropping to maintain the subject at the center of the frame, using vectors and motion sensors to track and adjust framing accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual framing is used to capture subjects, then the user has full control over composition, but the user must manually adjust the frame to track moving subjects which is time-consuming and difficult
Solution Approach 1:
The system performs automatic subject tracking and framing adjustment without requiring manual user intervention. The processor automatically identifies the subject in each image frame, determines the subject's position and movement, and adjusts the cropping region to maintain the subject at the desired position, making the system serve itself rather than requiring continuous user control.
Solution Approach 2:
The patent replaces manual mechanical framing adjustment with an automated image processing system. Instead of requiring the user to physically move the camera or adjust the viewfinder, the system uses computational methods including subject identification, position calculation, and automatic cropping to achieve framing adjustment, substituting mechanical operation with electronic and software-based solutions.
2Manufacturing precision
If the entire image frame is captured, then all subjects and context are preserved, but the main subject does not receive sufficient emphasis and composition quality deteriorates
Solution Approach 1:
The system applies different treatment to different regions of the image frame by identifying the subject's location and applying selective cropping that emphasizes the subject region while adjusting the frame boundaries. This creates local optimization where the subject area receives enhanced focus and composition quality without unnecessarily reducing the overall frame coverage more than needed.
Solution Approach 2:
The system performs preliminary subject identification and position determination before finalizing the crop. By pre-calculating the subject's position and the optimal cropping region in advance, the system can prepare the framed image with proper composition before capture, ensuring high composition quality without needing to reduce the frame area excessively.
3Extent of automation
If automatic subject tracking is implemented, then moving subjects are tracked automatically improving ease of operation, but the system complexity increases due to additional processing requirements
Solution Approach 1:
The automatic tracking system is divided into distinct functional modules: subject identification module that detects the subject in the image frame, position determination module that calculates the subject's location and movement, and cropping control module that adjusts the frame based on subject position. This segmentation allows each module to perform its specific function efficiently, managing overall system complexity through modular design.
Data Source
AI summary
An electronic device includes a display, a camera, and a processor. The processor receives, while displaying a preview image through the display based on at least portion of image frames obtained through the camera, an input with respect to a preset button. The processor switches to an auto framing mode in response to the photographing input. The processor identifies a first area matched to a subject captured by the camera, and a second area including a preset portion of the subject in the first area. The processor, based on predicting a moving direction of the subject in the image frames by a position of the second area in the first area, displays the preview image by performing cropping with respect to at least one of the image frames.