Gesture Tracking Camera for Live Classroom Video Capture
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Solution Overview
Problem
In live teaching environments, fixed-camera setups fail to effectively capture teacher movements, necessitating additional personnel to adjust camera parameters, thereby increasing teaching costs.
Innovation Solution
A follow-up shooting method that analyzes video images to identify gestures, determining whether to track and shoot specific objects using preset gesture bone images, allowing for automatic camera control without the need for a cameraman.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a fixed-position camera is used with fixed camera parameters, then the device complexity and teaching cost are reduced, but the ability to capture teacher movements clearly deteriorates
Solution Approach 1:
The system enables the camera to automatically track and adjust to the teacher's movements through computer vision algorithms that detect gestures and body positions, eliminating the need for manual operation by a cameraman while maintaining adaptability to dynamic teaching scenarios
Solution Approach 2:
The patent replaces the mechanical system of manual camera operation with an automated computer vision-based gesture recognition system that processes video images and controls camera parameters programmatically, reducing device complexity while improving adaptability
2Adaptability or versatility
If a cameraman is deployed to adjust camera parameters and track the teacher, then the adaptability to capture movements improves, but the teaching cost and device complexity increase
Solution Approach 1:
The camera system performs self-tracking by automatically detecting the teacher's gestures and movements through video analysis, making autonomous decisions about framing and focus without external human intervention, thereby maintaining adaptability while eliminating the need for additional personnel
Solution Approach 2:
The patent introduces computer vision algorithms and gesture recognition technology as intermediaries between the teacher's movements and the camera control system, translating physical gestures into automated camera parameter adjustments without requiring direct human operation of the camera
Data Source
AI summary
A follow-up shooting method and device, a medium and an electronic device are provided. The follow-up shooting method includes: acquiring a video image in a live classroom, wherein the video image comprises at least one object; analyzing the video image to obtain a gesture image for controlling a camera; and determining whether to control the camera to track and shoot an execution object related to the gesture image based on the gesture image.