Sound Source Tracking Camera for Video Conference Target Capture
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Solution Overview
Problem
During video conferences, participants often need to adjust the camera multiple times to capture real-time writing or drawing, leading to delays and inconvenience, as existing methods lack an efficient way to track and focus on specific targets without user intervention.
Innovation Solution
A target tracking method that utilizes sound source position signals to dynamically adjust the camera's position and orientation, allowing it to actively track and capture images of specific areas, such as a whiteboard, by generating driving control signals based on sound source analysis and performing object recognition to ensure accurate framing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the camera is manually adjusted multiple times to capture real-time writing or drawing, then the target area can be captured, but the conference progress is delayed and participants experience inconvenience
Solution Approach 1:
The camera system performs self-adjustment through automatic target tracking using sound source position signals and object recognition algorithms, eliminating the need for manual intervention. The system autonomously detects the target area, calculates camera parameters, and adjusts its own positioning to capture the target, thereby resolving the contradiction between accurate target capture and conference efficiency
Solution Approach 2:
The patent replaces manual mechanical camera adjustment with an automated control system that uses sound source positioning and image processing algorithms. The mechanical adjustment operation is substituted by an electronic control system that automatically calculates and executes camera positioning based on detected target information, improving both accuracy and speed
2Measurement precision
If the camera is manually adjusted to track moving targets, then the target can be captured, but user intervention is required frequently causing inconvenience
Solution Approach 1:
The camera system autonomously tracks targets by continuously receiving sound source position signals and performing object recognition on captured images. The system self-adjusts its positioning and framing without requiring user intervention, maintaining accurate target tracking while eliminating the inconvenience of frequent manual adjustments
Solution Approach 2:
The system establishes a closed-loop feedback mechanism where sound source position signals and image recognition results continuously inform camera positioning adjustments. The system monitors target position, calculates required camera parameters, executes adjustments, and verifies capture quality, creating an automatic feedback cycle that eliminates manual intervention
3Productivity
If automatic target tracking is implemented using sound source position signals and object recognition, then camera adjustments are minimized, but the system complexity increases
Solution Approach 1:
The system integrates multiple functions into a unified automatic tracking framework: sound source position signal processing, object recognition, camera parameter calculation, and automated positioning control all work together in a coordinated manner. This multi-functional integration achieves high conference efficiency while managing system complexity through unified architecture
Solution Approach 2:
The patent introduces an automatic target tracking system as an intermediary between the audio-visual components and the camera control system. This intermediary layer processes sound source signals and image data to generate camera positioning commands, simplifying the overall system architecture while enabling automatic tracking functionality
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This method reduces the need for frequent camera adjustments, maintaining conference flow by enabling the camera to automatically track and capture relevant images, thus minimizing user intervention and ensuring clear transmission of real-time data during video conferences.
Implementation Method 1
determine whether a corresponding sound source position points to the first target area according to a sound source position signal
Implementation Method 2
capture an image of the first target area and output to a display unit by a camera unit
Data Source
AI summary
The invention discloses a target tracking method applied to a video transmission, which can automatically track a specific target and capture images according to sound. The target tracking method includes the following steps: step one is to set a first target area; step two is to determine whether a corresponding sound source position points to the first target area according to a sound source position signal; step three is to capture an image of the first target area and output to a display unit by a camera unit when the sound source position points to the first target area; and step four is to execute a sound source tracking procedure when the sound source position is not pointing to the first target area.