Imaging Apparatus Subject Tracking with Edge Region Detection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing imaging apparatuses fail to continuously track a moving subject without losing it due to frame out issues, either by canceling the trimming zoom function or making it difficult to maintain the subject at a predetermined size.
Innovation Solution
An imaging apparatus with a detection unit to track the subject's position and speed, a setting unit to determine a frame that separates edge and center regions, and a generation unit to notify users of potential frame out by generating trimming information, adjusting the trimming range and display position accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the trimming zoom function is cancelled when the subject is about to frame out, then the user does not lose track of the subject, but the user has difficulty in continuously observing the subject at a predetermined size
Solution Approach 1:
The system performs preliminary action by generating a trimming image in advance when the subject is detected to be in the first region (edge region), before the subject actually frames out. This allows the user to prepare for potential frame out by seeing the predicted trimming result, enabling continuous observation at predetermined size while preventing actual frame out issues.
2Ease of operation
If the user trims the subject while tracking, then the user can continue stable observation without following the movement of the subject, but the user may lose track of the subject without noticing the frame out
Solution Approach 1:
The system provides feedback to the user by generating a trimming image that visually indicates the predicted frame out situation. When the subject is in the first region, the trimming image shows how the subject would be trimmed if framing out occurs, giving the user real-time feedback about potential tracking loss without actually losing the subject.
3Reliability
If the determination frame is set to separate edge and center regions, then the user is notified of potential frame out, but the system complexity increases
Solution Approach 1:
The system applies segmentation by dividing the image into two distinct regions: a first region (edge region) and a second region (center region), using a determination frame. This simple binary segmentation allows the system to efficiently determine when to generate trimming images without complex analysis, maintaining low system complexity while achieving accurate frame out prediction.
Data Source
AI summary
An imaging apparatus includes: a detection unit configured to detect a position of a subject, which is a target of trimming in an image; a setting unit configured to set a determination frame that separates a first region, which includes an edge of the image, and a second region, which is a region of the image excluding the first region, from each other; and a generation unit configured to generate a trimming image to notify a user that the subject is likely to move out of an imaging range of the image, in a case where the position of the subject is included in the first region.