Object Tracking via Operator-Defined Reference Image
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Solution Overview
Problem
Current object tracking systems lack efficient methods for operators to initiate and manage object tracking in real-time images, particularly in dynamic environments, where the system fails to accurately center and maintain the object within the field of view, leading to poor tracking quality and potential loss of the object.
Innovation Solution
A system that includes a tracker module capable of receiving operator inputs to determine and update a reference image, which is used to seek and maintain the object within the real-time image, allowing for adjustments in image acquisition based on the object's position and tracking quality, ensuring the object remains centered and tracked effectively.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If the tracker automatically centers the object in the real-time image, then the tracking process is automated, but the tracking accuracy may be insufficient without operator intervention
Solution Approach 1:
The system displays the reference image to the operator, who can observe the tracking accuracy and provide corrective input. This feedback loop allows the operator to verify whether the object is properly centered and to initiate re-centering actions if needed, thereby improving tracking accuracy while maintaining automation.
Solution Approach 2:
The tracker automatically performs object centering based on the reference image without requiring continuous operator intervention. The system serves itself by autonomously adjusting the object position in the real-time image, reducing the operational burden on the operator while maintaining tracking functionality.
2Adaptability or versatility
If the operator can manually adjust and update the reference image, then the adaptability to dynamic conditions improves, but the system complexity increases
Solution Approach 1:
The reference image serves as an intermediary between the tracker and the real-time image. It encapsulates the object characteristics and serves as a stable reference that can be updated by the operator without directly complicating the core tracking mechanism. This intermediary structure allows operator control while maintaining system simplicity.
Solution Approach 2:
The reference image is designed to be dynamically updatable by the operator when conditions change. This dynamic特性 allows the system to adapt to moving objects or changing environments without requiring a complete redesign of the tracking system, balancing adaptability with simplicity.
3Reliability
If the tracker frequently updates the reference image, then the tracking follows the object accurately, but the risk of losing the object increases due to premature updates
Solution Approach 1:
The system performs preliminary assessment before updating the reference image. The operator first views the current reference image and real-time image to determine whether an update is truly necessary. This preliminary evaluation prevents premature updates that could cause object loss, while still allowing timely updates when needed for accurate tracking.
Solution Approach 2:
The operator receives visual feedback through the displayed reference image and can assess tracking quality before deciding to update. This feedback mechanism ensures that updates are made only when necessary, maintaining tracking stability while preventing object loss from unnecessary reference image changes.
Data Source
AI summary
The disclosure describes examples of systems, methods, program storage devices, and computer program products for tracking an object, where a reference image of the tracked object is outputted to an operator.