Auto Framing Crop Control for Moving Subject Tracking
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Solution Overview
Problem
Existing electronic devices struggle to automatically track and crop a subject within image frames, particularly in situations where the subject is moving, leading to suboptimal framing and composition in captured images.
Innovation Solution
An electronic device with a camera and display is equipped with a processor that switches to an auto framing mode upon input, identifies a subject area and a preset portion, and predicts the subject's moving direction to perform cropping, ensuring the subject remains centered and emphasized in the frame.
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 subject may move out of frame or require constant adjustment
Solution Approach 1:
The system automatically detects and tracks the subject without requiring continuous manual intervention. The processor autonomously identifies the subject in each image frame, determines the cropping area, and adjusts the composition to keep the subject centered, enabling the system to serve itself in maintaining proper framing.
Solution Approach 2:
The system continuously analyzes each image frame to detect the subject's position and movement, uses this feedback to determine the appropriate cropping area, and dynamically adjusts the composition. This closed-loop feedback mechanism ensures the subject remains properly framed even when moving.
2Reliability
If automatic subject tracking is implemented, then the subject remains centered automatically, but the device complexity increases
Solution Approach 1:
The processing system is divided into distinct functional modules: subject detection module that identifies the subject in each frame, cropping area determination module that calculates the appropriate framing based on subject position, and composition adjustment module that applies the cropping. This segmentation allows each module to perform a specific function efficiently, reducing overall system complexity.
3Reliability
If continuous image processing is performed to track moving subjects, then the subject tracking is smooth and accurate, but the energy consumption increases
Solution Approach 1:
The system performs subject detection and cropping area determination at periodic intervals corresponding to the capture of consecutive image frames. Rather than continuous processing, the processor analyzes each frame at discrete time points, determining the subject's position and adjusting the cropping area periodically, which reduces energy consumption while maintaining tracking accuracy.
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.