Subject Tracking Device Dynamic Continuation Time Adjustment
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Solution Overview
Problem
Existing subject tracking systems, such as those described in Japanese Patent Laid-Open No. 2012-80251, face difficulties in accurately tracking subjects with small feature amounts, leading to frequent erroneous tracking, particularly in animals with patterns resembling pupils, like Dalmatian dogs, due to their inability to adjust tracking continuation times effectively.
Innovation Solution
An imaging device with an image acquisition unit, a tracking unit, and a switching unit that adjusts the tracking continuation time based on the type of subject detected, using a combination of feature data and learning models to differentiate between subjects and adjust tracking parameters, thereby reducing erroneous tracking.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If template matching is used for subject tracking, then real-time tracking is achieved, but erroneous tracking occurs frequently for subjects with small feature amounts
Solution Approach 1:
The patent applies dynamics by making the tracking period variable rather than fixed. The control unit adjusts the tracking period length based on the detected subject type - using shorter periods for subjects with small feature amounts (like pupils) and longer periods for subjects with large feature amounts. This dynamic adjustment allows the system to maintain real-time tracking speed while reducing erroneous tracking through adaptive parameter modification.
Solution Approach 2:
The patent implements parameter changes by modifying the tracking period parameter according to subject characteristics. By detecting subject type and corresponding this to appropriate tracking period lengths, the system changes the operational parameters to match the tracking difficulty of different subjects, thereby improving reliability without sacrificing speed.
2Ease of operation
If a fixed tracking period is used, then tracking operation is simplified, but erroneous tracking cannot be prevented for subjects with small feature amounts
Solution Approach 1:
The system applies self-service by automatically detecting subject types and autonomously adjusting the tracking period without requiring manual intervention. The control unit performs subject type detection and automatically selects appropriate tracking period parameters, maintaining operational simplicity while improving tracking accuracy through adaptive behavior.
Solution Approach 2:
The patent makes the tracking period dynamic based on subject characteristics. Rather than using a fixed period that either oversimplifies or causes errors, the system dynamically adapts the tracking period length to match the feature amount of the detected subject, resolving the contradiction between simplicity and reliability.
3Stability of the object's composition
If tracking period is extended to improve tracking stability, then tracking continuity is improved, but erroneous tracking increases for subjects with small feature amounts
Solution Approach 1:
The patent applies parameter changes by adjusting the tracking period parameter according to subject type. For subjects with small feature amounts (like pupils), the system uses shorter tracking periods to maintain stability without causing erroneous tracking. For subjects with large feature amounts, longer tracking periods provide stability. This parameter adaptation resolves the contradiction between stability and reliability.
Solution Approach 2:
The patent applies local quality by applying different tracking period settings to different subject types based on their specific characteristics. Rather than using a uniform tracking period for all subjects, the system tailors the tracking period length to the local requirements of each subject type, ensuring optimal stability and reliability for each case.
Data Source
AI summary
In order to provide a subject tracking device capable of reducing erroneous tracking of a subject, the subject tracking device includes an image acquisition unit configured to sequentially acquire images, a tracking unit configured to track a subject which is detected from the images acquired by the image acquisition unit by comparison between images over a plurality of images which are sequentially acquired by the image acquisition unit, and a switching unit configured to switch a time for continuing tracking in the tracking unit in accordance with a type of the subject detected from the images.