Image Processing Subject Distance Change Detection
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Solution Overview
Problem
Current image processing systems require manual selection of a main subject by photographers, which is difficult, especially when subjects are moving or the camera is being held and maneuvered, leading to challenges in maintaining focus and tracking the desired subject.
Innovation Solution
An image processing device that automatically determines a main subject by detecting temporal changes in distance and determining the tendency of subjects to approach or recede relative to the imaging position, allowing for automatic selection based on these tendencies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual selection of main subject is implemented, then user can choose desired subject, but operability deteriorates when subject is moving or camera is being held
Solution Approach 1:
The system automatically determines the main subject by analyzing distance changes and movement tendencies without requiring manual user input. The camera performs self-service by autonomously identifying and tracking subjects based on their motion characteristics relative to the imaging position.
Solution Approach 2:
The system performs preliminary analysis of subject distance changes and movement patterns before final subject determination. By detecting temporal changes in distance and calculating approach/recession tendencies in advance, the system prepares subject selection data before the imaging moment, enabling automatic accurate selection.
2Ease of operation
If automatic main subject determination is implemented, then operability improves, but subject selection accuracy may deteriorate
Solution Approach 1:
The system dynamically determines main subject based on real-time distance changes and movement tendencies rather than using static selection criteria. By continuously monitoring how subjects approach or recede from the imaging position, the system adapts subject determination to changing scene conditions, improving accuracy while maintaining automatic operation.
Solution Approach 2:
The system uses feedback from distance change detection and movement tendency analysis to refine subject determination. By continuously monitoring subject motion relative to the camera and using this information to identify the most significant subject, the system achieves accurate automatic selection without manual intervention.
3Measurement precision
If finger selection on touch panel is used, then user can select subject, but user stress increases when holding camera
Solution Approach 1:
The camera performs self-service by automatically determining the main subject through distance change analysis without requiring the user to manually touch or select subjects. This eliminates the physical stress of holding the camera while simultaneously attempting to touch the screen for subject selection.
Solution Approach 2:
The system performs preliminary analysis of subject motion and distance changes before the imaging moment, automatically identifying the main subject in advance. This eliminates the need for last-minute manual selection, reducing user stress while maintaining accurate subject designation.
Data Source
AI summary
There is provided an image processing device including a subject distance change determination unit configured to detect a temporal change of a distance from an imaging position to each subject present in an image and determine a tendency toward approach or recession of the each subject with respect to the imaging position on the basis of the detection, and a main subject determination unit configured to determine a main subject on the basis of the tendency toward approach or recession of the each subject determined by the subject distance change determination unit.