Smart Tracking Control with Search-Area Scanning
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Solution Overview
Problem
Existing imaging apparatuses struggle to rediscover a tracking target that has moved away from the lost position, as conventional methods like zooming out are insufficient for reacquiring the target.
Innovation Solution
The imaging apparatus includes a control unit that adjusts the imaging range to search for the tracking target within a user-defined or past-position-based search area, utilizing pan, tilt, and zoom controls to sequentially capture images and resume tracking.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If the imaging apparatus zooms out to increase the angle of view when tracking target is lost, then the imaging range is expanded, but the tracking target cannot be rediscovered if it has moved away from the lost position
Solution Approach 1:
The system pre-defines a search area based on user settings, past positions of the tracking target, or user operations before tracking is lost. When tracking fails, the system immediately searches within this predetermined area rather than盲目ly zooming out, enabling faster and more reliable rediscovery of the target if it remains within the search area.
Solution Approach 2:
The search area is dynamically determined based on multiple factors including user-defined parameters, historical tracking data, and current imaging conditions. The system adaptively adjusts the search strategy by controlling the imaging unit to scan through the dynamically generated search area, allowing flexible response to different tracking scenarios.
2Productivity
If the system searches for the tracking target by zooming out, then the angle of view increases, but the search efficiency is low when the target has moved to a different location
Solution Approach 1:
The search area is predetermined based on user settings, past tracking positions, or user operations before tracking is lost. This preliminary definition of the search area enables the system to focus its search efforts on the most relevant regions, significantly improving search efficiency and reducing the time required to rediscover the target compared to blind zooming-out approaches.
Solution Approach 2:
Instead of uniformly searching the entire expanded field of view, the system concentrates search resources on the specifically defined search area where the target is most likely to be found. This localized search approach based on historical data and user input optimizes the balance between search coverage and time efficiency.
Data Source
AI summary
A control apparatus includes a control unit configured to control an imaging range of an imaging unit to track a tracking target, and a setting unit configured to set a search area based on a range set by a user, a user operation for controlling the imaging range, or a past position of the tracking target, wherein the control unit controls the imaging range to search for the tracking target in the search area in a case where tracking of the tracking target has failed.