Triple-Path Camera Shooting for Moving Subject Focus Tracking
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Solution Overview
Problem
Existing terminal devices face challenges in maintaining focus on moving objects during video shooting, leading to out-of-focus and focus shifting issues, which degrade the shooting experience.
Innovation Solution
A shooting method that divides image data streams into panorama, focus tracking, and detection paths, enabling simultaneous display and recording of a large window for panoramic view and a small window for close-up view, with focus tracking and jitter correction to ensure accurate marking and cropping of the focus target.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If focus tracking is performed on moving objects during video shooting, then focus accuracy is improved, but device complexity increases due to multiple data streams and processing paths
Solution Approach 1:
The patent segments the image processing system into three independent data streams: panorama path for wide-angle recording, focus tracking path for subject following, and detection path for object identification. Each path processes data independently with dedicated algorithms, allowing focus tracking to operate without interfering with other functions while maintaining modular architecture that manages complexity.
Solution Approach 2:
The patent adds a temporal dimension to focus tracking by continuously updating focus parameters across multiple frames rather than static focus adjustment. The system tracks focus parameters over time sequences, enabling dynamic focus adaptation to moving objects while maintaining historical context for smoother transitions and more accurate tracking.
2Adaptability or versatility
If simultaneous recording of panoramic and close-up videos is implemented, then shooting versatility is improved, but use of energy increases due to multiple recording paths
Solution Approach 1:
The patent merges the panorama and close-up recording paths by using a single camera sensor and shared image processing pipeline. Both recording modes process data from the same sensor simultaneously, with the detection path identifying regions of interest that are then tracked and cropped for close-up recording. This unified approach eliminates redundant hardware and reduces overall energy consumption compared to separate recording systems.
Solution Approach 2:
The system performs preliminary object detection and region of interest identification before initiating close-up recording. The detection path pre-processes images to identify potential subjects, allowing the system to prepare focus tracking parameters and cropping regions in advance. This preliminary action enables smoother transitions between recording modes and reduces computational overhead during active recording.
3Manufacturing precision
If multiple data streams are processed for focus tracking and panorama recording, then shooting quality is improved, but processing time increases
Solution Approach 1:
The patent implements continuous processing across all three data streams without interrupting any path for sequential execution. The panorama path continuously records wide-angle footage, the detection path continuously identifies objects, and the focus tracking path continuously updates focus parameters. All paths operate in parallel with real-time data exchange, eliminating processing delays and ensuring smooth, uninterrupted video output with consistent quality.
Data Source
AI summary
This application provides a shooting method and a related device. The electronic device may output a RAW image through the camera lens, and divide the image into three paths of data streams through an image processor. The three paths of data streams are data streams of a panorama path, a focus tracking path, and a detection path respectively. After stabilization processing, the data stream of the panorama path is used to display and preview a large window of a camera application interface. After human body detection and successful focus tracking, information about a human body cropping frame may be output, through the data stream of the detection path, to the focus tracking path for cropping a human body frame. After stabilization processing, smoothing processing, and cropping processing, the data stream of the focus tracking path may be used to display and preview a small window of the camera application interface.