Rotatable Camera Video Recording for Moving-Target Jitter Reduction
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Solution Overview
Problem
The quality of recorded videos is compromised due to jitter when a user holds a mobile device to capture a moving target object, leading to synchronization issues between the device and the object's movement.
Innovation Solution
A video recording method utilizing a rotatable camera to scan and recognize feature images of target objects, allowing the camera to rotate and record videos while synchronizing with the object's motion, thereby eliminating the need for manual stabilization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the user holds the mobile terminal to move with the target object, then the terminal can capture the moving target, but jitter occurs and video quality deteriorates
Solution Approach 1:
The patent replaces the mechanical hand-holding stabilization method with an automated image processing system. The processor automatically detects target objects in captured images and controls the camera to track and record these objects, eliminating the need for manual stabilization efforts that cause jitter.
Solution Approach 2:
The system performs self-service by automatically detecting target objects and initiating recording without requiring user intervention for each frame. The processor continuously monitors captured images, identifies targets, and controls the camera to follow them, making the recording process autonomous and stable.
2Ease of operation
If the user manually tracks the target object, then the camera can follow the object, but synchronization between device movement and object movement is difficult to maintain
Solution Approach 1:
The patent implements a feedback mechanism where the processor continuously analyzes captured images to detect target object positions, compares them with previous frames, and adjusts camera movement accordingly. This closed-loop feedback system ensures precise synchronization between camera tracking and object movement without manual intervention.
Solution Approach 2:
The manual tracking mechanism is replaced with an automated image processing system that uses computational algorithms to detect and track targets. The processor calculates object positions and controls the camera to follow them, achieving precise synchronization through digital processing rather than manual coordination.
3Difficulty of detecting and measuring
If the camera rotates to capture feature images, then the system can identify target objects, but the recording process becomes more complex
Solution Approach 1:
The patent segments the camera's functionality into distinct operational modes: a scanning mode where the camera rotates to capture feature images for target identification, and a recording mode where the camera stabilizes to capture video. This segmentation allows the system to handle complex detection tasks while maintaining simpler recording operations.
Solution Approach 2:
The system performs preliminary action by rotating the camera to capture and analyze feature images before initiating the actual video recording. This preliminary scanning and detection phase identifies target objects and their positions, allowing the subsequent recording phase to focus solely on capturing video of the identified targets without the complexity of simultaneous detection and tracking.
Data Source
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AI summary
The present disclosure provides a video recording method and a terminal, where the method is applied to a terminal including a rotatable camera and includes: receiving a first input performed by a user for N feature images; recording M target to-be-recorded objects in response to the first input, where the N feature images include the M target to-be-recorded objects; and controlling a camera to rotate, recording the M target to-be-recorded objects, and outputting a target video; where M is less than or equal to N.