Depth Camera Aiming Logic for Target Tracking
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Solution Overview
Problem
Depth cameras face challenges in automatically aiming at a point of interest within a scene, particularly in determining the appropriate logic to use based on the target's distance, which affects the camera's field of view and accuracy in tracking movements.
Innovation Solution
A method is introduced that involves receiving depth images from the camera, determining if a point of interest is within the scene, and deciding whether to operate the camera using far logic or near logic based on its distance, adjusting the aiming vector accordingly to maintain or change the camera's focus to ensure the point of interest remains within the field of view.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If the depth camera uses a fixed aiming logic, then the device complexity is reduced, but the reliability of tracking targets at different distances deteriorates
Solution Approach 1:
The patent implements dynamic aiming logic that automatically adjusts camera control parameters based on the detected distance to the target. The system transitions from a static, fixed aiming logic to a dynamic system that adapts its behavior (using near logic or far logic) according to real-time distance measurements, thereby maintaining reliable tracking across varying distances without requiring manual intervention.
Solution Approach 2:
The patent changes the control parameters of the depth camera based on the distance parameter. When the target is detected to be within a certain distance threshold, the system switches to near logic with specific aiming parameters; when the target is beyond the threshold, it switches to far logic with different aiming parameters. This parameter-based adaptation resolves the contradiction by maintaining tracking reliability through parameter optimization without excessively complicating the overall device architecture.
2Measurement precision
If the depth camera adjusts aiming frequently to track movements, then the tracking accuracy is improved, but unnecessary movements increase causing device complexity and energy consumption to worsen
Solution Approach 1:
The patent implements dynamic adjustment of camera aiming based on real-time distance measurements. The system continuously monitors target distance and only adjusts aiming when distance changes cross certain thresholds, transitioning between near logic and far logic modes. This dynamic approach maintains high tracking accuracy by responding to actual changes while avoiding unnecessary adjustments, thus reducing overall movement frequency.
Solution Approach 2:
The system employs feedback mechanisms where distance measurement results are continuously fed back to the aiming control logic. Based on this feedback, the system intelligently determines whether adjustment is necessary, adjusting only when the feedback indicates a significant change in target distance. This feedback-driven approach ensures tracking accuracy is maintained while minimizing unnecessary camera movements and reducing control complexity.
Data Source
AI summary
Automatic depth camera aiming is provided by a method which includes receiving from the depth camera one or more observed depth images of a scene. The method further includes, if a point of interest of a target is found within the scene, determining if the point of interest is within a far range relative to the depth camera. The method further includes, if the point of interest of the target is within the far range, operating the depth camera with a far logic, or if the point of interest of the target is not within the far range, operating the depth camera with a near logic.


