Grouped Subject Framing in Image Processing for Clearer Recognition
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Solution Overview
Problem
Existing imaging technologies struggle to easily visualize and differentiate multiple subjects within a group, often displaying individual results which can be confusing and difficult to interpret.
Innovation Solution
An image processing device and method that groups multiple subjects satisfying certain conditions into a single object by displaying a boundary line or frame, dynamically adjusting the frame based on distance and other characteristics, and selectively showing individual frames or grouped frames based on movement and depth of field.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If individual subject recognition results are displayed for each subject, then complete information about all subjects is provided, but visual clarity and ease of understanding deteriorates due to confusion and difficulty in interpretation
Solution Approach 1:
The patent merges multiple individual subject recognition results into a single grouped display when subjects satisfy predetermined conditions (such as being within a certain distance or belonging to the same category). This combining approach maintains complete recognition information while improving visual clarity by presenting related subjects as a unified group rather than separate individual results that cause confusion.
2Loss of information
If multiple subject regions are displayed individually, then detailed information about each subject is preserved, but the complexity of the display increases making it harder to manage and interpret
Solution Approach 1:
The patent applies merging by grouping multiple subject regions that satisfy predetermined conditions into a single consolidated display region. This reduces display complexity while preserving subject detail information through the use of boundary lines and identification markers that indicate the grouped nature of the subjects without requiring separate individual displays for each subject.
Solution Approach 2:
The patent segments the display into different types of regions: individual subject regions for subjects that do not meet grouping conditions, and grouped subject regions for subjects that do meet the conditions. This segmentation allows the system to adaptively manage display complexity by applying different display strategies to different subjects based on their characteristics and relationships.
3Device complexity
If a fixed display format is used for all subjects, then simplicity of the display system is maintained, but adaptability to different subject configurations and user needs is reduced
Solution Approach 1:
The patent implements dynamic display behavior where the display format automatically adapts based on whether subjects satisfy predetermined conditions. The system dynamically switches between individual subject region display and grouped subject region display, adjusting the number, position, and configuration of display regions based on real-time subject analysis results. This dynamic approach maintains system simplicity while achieving high adaptability to different subject configurations.
Solution Approach 2:
The patent changes display parameters (such as the number of display regions, their positions, sizes, and the presence of boundary lines) based on the characteristics of the detected subjects. When subjects satisfy grouping conditions, parameters are changed to consolidate their display; when they don't, parameters return to individual display mode. This parameter-based adaptation allows the system to handle diverse subject configurations without requiring complex manual configuration.
Data Source
AI summary
An image processing device includes a processor and a memory connected to or built in the processor. The processor recognizes a subject included in a subject group based on image data obtained by imaging the subject group with an imaging apparatus, displays an image indicated by the image data on a display, and displays a plurality of subject regions, which are included in the image, correspond to a plurality of subjects included in the subject group, and satisfy a predetermined condition, in the image in an aspect that is capable of being identified as one object based on a result of recognizing the subject.