Subject Frame and Acceptance Frame for Precise Image Tracking
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Solution Overview
Problem
In digital cameras, users face difficulties in accurately designating subjects for tracking, leading to imprecise recognition of the intended tracking target.
Innovation Solution
An image processing device and method that includes a subject frame setting section, an acceptance frame setting section, a position detecting section, and a recognizing section to set a subject frame, an acceptance frame wider than the subject frame, detect a specified position, and recognize the tracking target based on the acceptance frame and specified position, allowing for precise subject tracking.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a subject frame is set to precisely surround the detected subject, then subject detection precision is improved, but the ease of operation deteriorates because users must accurately touch within the subject frame
Solution Approach 1:
The patent divides the selection interface into two distinct functional zones: a subject frame for precise subject identification and an acceptance frame for user input. The subject frame precisely surrounds the detected subject (e.g., face) while the acceptance frame extends beyond it to provide a larger touch target. This segmentation allows the system to simultaneously achieve precise subject detection and ease of user operation by separating the precision function from the input function.
Solution Approach 2:
The acceptance frame acts as an intermediary element between the user's touch input and the subject frame. Instead of requiring direct touch on the small subject frame, the acceptance frame serves as a mediator that translates a broader touch area into precise subject selection. This intermediary layer resolves the contradiction by decoupling the precision requirement from the input requirement.
2Ease of operation
If the acceptance frame is set wider than the subject frame, then ease of operation is improved, but measurement precision deteriorates because the touch position may fall outside the subject frame
Solution Approach 1:
The patent segments the frame structure into an inner subject frame and an outer acceptance frame with distinct functional roles. The subject frame maintains precise boundaries for accurate subject identification, while the acceptance frame provides extended boundaries for ease of touch. This segmentation allows each frame to optimize for its specific function without compromising the other.
Solution Approach 2:
The system provides visual feedback by displaying both the subject frame and acceptance frame simultaneously. When the user touches within the acceptance frame, the system provides feedback by selecting the subject corresponding to the touch position, even if outside the subject frame. This feedback mechanism resolves the precision concern by making the relationship between touch position and selected subject transparent to the user.
3Adaptability or versatility
If multiple detectors are operated to detect different subjects, then adaptability is improved, but device complexity increases
Solution Approach 1:
The patent implements a universal subject detection system that can detect multiple subject types (faces, animals, objects) using a common detection framework. Instead of requiring separate dedicated systems for each subject type, the system operates multiple detectors within a unified architecture that automatically selects and combines their results. This multi-functionality approach provides adaptability across different subject types while avoiding the complexity of multiple independent detection systems.
Data Source
AI summary
An image processing device including a subject frame setting section which, by operating a subject detector which detects a subject captured in an image, sets a subject frame which surrounds a predetermined range of the subject detected from the image; an acceptance frame setting section which sets an acceptance frame with a range wider than the subject frame according to the context of the image; a position detecting section which detects a specified position on an image which is specified by a user; and a recognizing section which recognizes a subject which is a tracking target based on the acceptance frame set by the acceptance frame setting section and the specified position detected by the position detecting section.