Electronic Device Zoom Tracking from Pre-Recorded Object Motion
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Solution Overview
Problem
Existing methods for capturing and sharing images or videos fail to accurately and naturally adjust the zoom region based on the movement of an object, leading to suboptimal video acquisition.
Innovation Solution
An electronic device that utilizes pre-recorded video information to determine parameters for adjusting the zoom region in real-time video capture, allowing for more accurate and natural video acquisition by applying parameters from a pre-stored video to a currently recorded video.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the electronic device manually adjusts the zoom region to capture images, then the user can control the framing, but the accuracy and naturalness of tracking moving objects deteriorates
Solution Approach 1:
The system automatically analyzes video content to identify objects and their movements, then self-adjusts the zoom region parameters without requiring continuous manual input. The electronic device serves itself by using its own recorded video data to determine optimal zoom settings, eliminating the need for constant user intervention while maintaining high tracking accuracy.
Solution Approach 2:
The system uses feedback from the recorded video content to continuously optimize zoom region parameters. By analyzing object movement patterns in the video feed and using this information to adjust zoom settings, the system creates a closed-loop control system that improves tracking accuracy while reducing manual operation requirements.
2Measurement precision
If the electronic device uses pre-recorded video information to determine zoom parameters, then the video acquisition accuracy improves, but the processing time and complexity increases
Solution Approach 1:
The system performs preliminary analysis on pre-recorded video content to extract object movement patterns and characteristics before using this information to guide real-time zoom region adjustments. By preparing and analyzing video data in advance, the system reduces the computational burden during real-time capture while maintaining high accuracy in zoom parameter determination.
3Reliability
If the electronic device captures images repeatedly to capture a desired image, then the probability of capturing the desired moment increases, but the time consumption increases
Solution Approach 1:
The system dynamically adjusts the zoom region based on real-time object movement analysis from video content, allowing it to track and capture moving subjects effectively without requiring multiple repeated captures. The dynamic zoom adjustment follows the subject's motion, maintaining optimal framing throughout the action sequence and reducing the need for multiple capture attempts.
Data Source
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AI summary
An electronic device according to various embodiments of the present invention comprises a camera module, a processor functionally connected to the camera module, and a memory functionally connected to the processor, wherein the memory may store instructions which, when executed, cause the processor to: obtain a first image; identify a first object in the first image; obtain a parameter associated with a zoom area on the basis of a movement of the first object in the first image; identify the first object corresponding to a second object included in a second image obtained via the camera module, and obtain an image of the second object from the second image on the basis of the parameter associated with the zoom area.