UAV Video Processing with Gimbal Rotation and Stitching
Solution Overview
Problem
Current UAVs require professional equipment and skills for effective video recording, and there is a need for improved control methods to capture high-quality videos and panoramic images during flight trajectories.
Innovation Solution
A video processing method and device that control a UAV's camera to capture a first video segment along a predetermined flight trajectory and then generate a panoramic image by rotating the gimbal at a photography point, stitching these images to create a second video segment, which is combined with the first segment to form a target video.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If professional photographic equipment and skilled operation are used for UAV video recording, then video quality is improved, but device complexity and operational difficulty increase
Solution Approach 1:
The UAV system performs automated trajectory planning, automatic photography point identification, and autonomous video stitching without requiring professional operator intervention. The system serves itself by autonomously completing tasks that previously required skilled photographers, thereby reducing operational difficulty while maintaining high video quality
Solution Approach 2:
The video recording process is divided into discrete segments captured at different photography points along the trajectory. Each segment is independently captured and then automatically stitched together, allowing the system to achieve professional-quality results through modular, automated processing rather than requiring complex single-camera setups
2Manufacturing precision
If professional photographic equipment and skilled operation are used for UAV video recording, then video quality is improved, but ease of operation deteriorates
Solution Approach 1:
The system autonomously plans trajectories, identifies photography points, captures images, and performs video stitching without requiring skilled operators. This self-service capability makes professional-quality UAV videography accessible to ordinary users, dramatically improving ease of operation
Solution Approach 2:
The system pre-plans the flight trajectory and automatically identifies optimal photography points before execution. This preliminary automated preparation eliminates the need for skilled operators to manually plan and execute complex shooting sequences, making the system easy to operate while maintaining high video quality
3Ease of operation
If automated video capture and processing is implemented, then ease of operation is improved, but device complexity increases
Solution Approach 1:
Multiple functional modules including trajectory planning, photography point identification, image capture, and video stitching are merged into an integrated automated system. This consolidation provides comprehensive automated functionality that improves ease of operation, with the complexity managed through systematic integration rather than separate complex subsystems
Data Source
AI summary
The present disclosure provides a video processing method, applied to an unmanned aerial vehicle (UAV) equipped with a camera device for capturing videos. The video processing method includes in response to the UAV moving in accordance with a flight trajectory, controlling the camera device of the UAV to obtain a first video segment when reaching a first photography point; in response to reaching a second photography point as the UAV continues moving, controlling the camera device of the UAV to capture environmental images to obtain a panoramic image, and generating a second video segment based on the panoramic image; and generating a target video based on the first video segment and the second video segment.