Motion-Aware Image Processing for Stable Main-Subject Selection
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Solution Overview
Problem
Conventional subject detection techniques in image capturing apparatuses face issues where the selected main subject frequently changes due to changes in posture, leading to instability in shooting, and restricting this change reduces responsiveness to subject changes.
Innovation Solution
An electronic apparatus with a first detection unit to identify subjects, a determination unit to assess motion states, and a selection unit to designate a main subject, which restricts changes in the main subject when it is in a motion state, using a control unit to maintain stability while allowing responsiveness.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If the main subject is selected based on posture information with high likelihood, then the responsiveness to subject changes is improved, but the stability of shooting is deteriorated due to frequent main subject changes
Solution Approach 1:
The system dynamically adjusts the main subject selection strategy based on the motion state of detected subjects. When a subject is determined to be in motion, the system switches to a stable selection mode that restricts main subject changes, whereas in static conditions, it allows more flexible selection based on posture likelihood. This dynamic adaptation resolves the contradiction by making the selection criteria flexible rather than fixed.
Solution Approach 2:
The system changes the selection parameter from pure posture-based likelihood to motion-state-aware selection. By introducing motion state detection as an additional parameter, the system can differentiate between subjects that should trigger stable selection (moving subjects) and those that can use posture-based selection (static subjects), thus resolving the frequency stability issue while maintaining responsiveness where appropriate.
2Stability of the object's composition
If the change of main subject is restricted to avoid frequent changes, then the stability of shooting is improved, but the responsiveness to subject changes is deteriorated
Solution Approach 1:
The system applies different selection qualities to different subjects based on their motion state. Moving subjects receive stable selection treatment (restricted changes) while static subjects allow normal posture-based selection. This localized differentiation resolves the contradiction by applying stability restrictions only where necessary (moving subjects) rather than universally, thus maintaining responsiveness for static subjects while ensuring stability for moving ones.
Data Source
AI summary
An electronic apparatus comprises: a first detection unit that detects one or more subjects from images obtained by performing shooting repeatedly; a determination unit that determines whether each of the subjects detected by the first detection unit is in a predetermined motion state; a selection unit that selects one of the subjects detected by the first detection unit as a main subject; and a control unit that, in a case where the subject determined to be in the motion state by the determination unit is selected as the main subject by the selection unit, restricts a change of the main subject in subsequent images.