Image Acquisition Device Tracking Recovery via Reference Object Adjustment
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Solution Overview
Problem
Existing techniques for object tracking using image acquisition devices fail when the object is obscured or temporarily out of the image capturing range, leading to interrupted tracking.
Innovation Solution
A method for controlling the image acquisition device by detecting tracking failures, determining a reference object, and adjusting the image capturing range and direction based on the reference object's size and location, allowing for re-establishment of object tracking.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the image acquisition device maintains a fixed image capturing range and direction, then the device structure is simple and easy to control, but the tracking fails when the object is obscured or out of range
Solution Approach 1:
The image acquisition device automatically adjusts its own capturing range and direction based on reference object detection, without requiring external intervention or complex manual control systems. The device serves itself by autonomously modifying parameters to maintain tracking reliability.
Solution Approach 2:
The system dynamically changes the image capturing parameters (range and direction) based on the detected reference object's position and characteristics. This parameter adjustment allows the device to adapt to different scenarios and maintain continuous tracking without increasing structural complexity.
2Adaptability or versatility
If the image capturing range is extended to cover more area, then the object can be tracked even when moving out of original range, but the image capturing direction control becomes less precise
Solution Approach 1:
The system uses different reference objects (such as corner markers or edge features) to guide the image acquisition device in adjusting capturing parameters. By selecting appropriate local reference points, the device can extend coverage while maintaining precision through localized reference-based adjustment.
3Reliability
If the image acquisition device continuously adjusts capturing parameters to maintain object in view, then tracking reliability is improved, but the response time increases due to detection and adjustment cycles
Solution Approach 1:
The system performs preliminary detection of reference objects (such as corner markers or edge features) that indicate the target's position or movement direction. By detecting these reference elements in advance, the device can proactively adjust capturing parameters before the target completely leaves the frame, reducing recovery time.
Data Source
AI summary
A method of controlling an image acquisition device for tracking a target object includes: detecting an event in which tracking of a first object, which is a tracking target object, fails in a first image acquired by the image acquisition device; determining, in the first image, a reference object which is used as a reference for controlling the image acquisition device; controlling the image acquisition device such that at least one of an image capturing range and an image capturing direction of the image acquisition device is adjusted based on at least one of a size and a location of the reference object in the first image; and recognizing the first object in a second image acquired by the image acquisition device in a state in which at least one of the image capturing range and the image capturing direction is adjusted.