Image-Frame ROI Tracking with Automatic Camera Zoom and Tilt
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Solution Overview
Problem
Existing methods fail to accurately track regions of interest (ROIs) in image frames, especially when objects move or the device zooms, leading to partial or complete capture failure and requiring manual user intervention, which is cumbersome and prone to delays.
Innovation Solution
An electronic device monitors image frame size factors to detect ROI movement, adjusts camera zoom and tilt automatically to maintain the ROI within the frame, and facilitates smooth transitions between primary and secondary cameras.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual tracking of ROI is performed by user, then the user can adjust camera orientation to follow the object, but the tracking is slow and prone to delays due to user response time
Solution Approach 1:
The system performs automatic ROI tracking using image processing algorithms that detect and follow the target object without requiring manual user intervention. The processor automatically analyzes consecutive image frames, identifies ROI position changes, and adjusts camera parameters to maintain optimal tracking, making the system self-sufficient in the tracking task.
Solution Approach 2:
The manual mechanical adjustment of camera orientation by the user is replaced with an automated digital control system. The processor calculates required camera adjustments based on ROI position changes in image frames and automatically controls the camera actuator, substituting human mechanical operation with automated computational control.
2Area of moving object
If digital/optical zoom is applied to capture enlarged view of the scene, then the view is magnified, but the ROI at corner positions is partially or completely missed in subsequent frames
Solution Approach 1:
The system continuously monitors the position of the ROI within each captured image frame and uses this feedback to dynamically adjust camera parameters. When the ROI approaches frame boundaries or is at risk of being missed, the system adjusts zoom level or camera orientation to ensure the ROI remains within the capture area, creating a closed-loop control system.
Solution Approach 2:
The camera parameters (zoom level, orientation, position) are made dynamic rather than static, allowing real-time adjustments based on ROI movement. The system adapts the field of view and camera angle dynamically to track the ROI while maintaining optimal magnification, enabling the camera to respond flexibly to changing scene conditions.
3Area of moving object
If manual tracking is performed on higher zoom levels, then the enlarged view is achieved, but the tracking becomes even more difficult due to random movements of the object and/or electronic device
Solution Approach 1:
The system automatically compensates for device movement and object motion at high zoom levels through continuous image frame analysis. The processor detects ROI position changes and calculates necessary camera adjustments, eliminating the need for manual tracking operations that become difficult at high magnification.
Solution Approach 2:
The system dynamically changes camera parameters (zoom level, orientation, position) based on real-time analysis of ROI movement patterns. When tracking becomes difficult due to random movements, the system adjusts parameters to optimize tracking performance, such as modifying zoom level or repositioning the camera to maintain the ROI within the optimal capture area.
Data Source
AI summary
Embodiments herein provide a method for tracking a ROI in image frames using an electronic device (100). The method includes receiving the image frames from one or more cameras (150) of the electronic device (100). The method includes identifying the ROI in the image frames to be tracked. The method includes determining a distance of the ROI from each edge of the image frames. The method includes recognizing that the ROI is moving away from a position in the image frames based on the distance of the ROI from each edge of the image frames. The method includes automatically operating an actuator (151) of the one or more cameras (150) to vary the distance of the ROI from each edge of the image frames to maintain the position of the ROI in the image frames.