Audio Ray Casting for Live Event Object Tracking
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Traditional sound capture at live events relies on human audio engineers, who are prone to errors and may miss critical moments, leading to suboptimal audio capture and potential failures in broadcast applications.
Innovation Solution
A system that combines object tracking with audio capture elements, using an audio ray casting system to dynamically adjust audio output parameters based on the spatial coordinates of an object of interest, thereby rendering audio focus on that object in real-time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a human audio engineer manually mixes microphones to capture specific activity at a live event, then the audio capture can be adjusted based on visual observation and human judgment, but human error may cause the desired activity to be missed and broadcast applications to fail
Solution Approach 1:
The patent replaces the mechanical system of manual microphone mixing with an automated computer vision-based system. The object tracking system automatically identifies and tracks objects of interest using visual data, and the audio ray casting system automatically directs audio capture elements toward these tracked objects, eliminating reliance on human audio engineers and their prone-to-error manual operations.
Solution Approach 2:
The system enables self-service by allowing the audio capture system to autonomously adjust and follow objects of interest without human intervention. The object tracking system continuously monitors the live event, automatically identifies objects of interest, and the audio ray casting system automatically adjusts audio capture parameters and directions based on the tracked object's position, making the system self-regulating and eliminating human error.
2Adaptability or versatility
If multiple performers or activities are monitored during a live event, then comprehensive coverage can be achieved, but the complexity of manually managing multiple microphones and activities increases
Solution Approach 1:
The patent implements universality through the object tracking system that can identify and track any object of interest in the scene regardless of its type or position. The same tracking algorithm and audio ray casting mechanism work for all objects, providing a universal solution that handles multiple performers, activities, or any tracked object without requiring separate manual control for each, thereby reducing operational complexity while maintaining versatility.
3Measurement precision
If audio capture elements are dynamically adjusted to follow objects of interest in real-time, then precise audio focus can be achieved, but the computational requirements and processing speed demands increase
Solution Approach 1:
The patent applies preliminary action by pre-calculating and storing the audio ray casting parameters and object tracking algorithms before the live event begins. The system has pre-established the computational framework and processing pipelines, allowing it to rapidly execute real-time tracking and audio adjustment without performing complex calculations from scratch during the event, thus achieving both precision and speed.
Data Source
AI summary
A system has an object tracking system to track an object of interest at a live event with a time series sequence of x, y, and z spatial coordinates. An audio capture system has audio capture elements, where each audio capture element has audio capture element configurable parameters. The audio capture system collects audio signals at the live event. An audio ray casting system dynamically produces audio output parameters for the audio capture elements based upon the time series sequence of x, y, and z spatial coordinates and configurable ray casting parameters. A signal mixer processes the audio signals and the audio output parameters to render audio focus on the object of interest at the live event.