Target Recognition Validation Using Depth Clips
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Solution Overview
Problem
Existing target recognition, analysis, and tracking systems face challenges in achieving accuracy due to variations in user motion and type, making it difficult to provide a commercially viable solution that performs well in diverse environments.
Innovation Solution
A method and system for verifying the accuracy of target recognition, analysis, and tracking systems using recorded and synthesized depth clips with associated ground truth data, allowing for the analysis of tracking data relative to known accurate skeletal information to identify errors and improve pipeline performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a target recognition, analysis, and tracking system is designed to handle diverse user types and motions, then the system's adaptability improves, but the difficulty of achieving accurate tracking increases
Solution Approach 1:
The patent applies preliminary action by creating comprehensive test data sets with ground truth information before deploying the tracking system. This pre-prepared reference data enables accurate verification and calibration of tracking accuracy across diverse user types and motions, resolving the contradiction between adaptability and measurement precision.
Solution Approach 2:
The patent implements feedback mechanisms by comparing tracking system output against ground truth data from test clips. This feedback loop allows continuous optimization of tracking algorithms for different user types and motions, maintaining high accuracy while preserving adaptability to diverse scenarios.
2Measurement precision
If comprehensive test data with ground truth is created to verify tracking accuracy, then the measurement precision of the system improves, but the device complexity increases
Solution Approach 1:
The patent uses copying by creating synthesized test data that replicates real-world tracking scenarios without requiring physical test subjects or complex test environments. These digital copies of tracking scenarios with known ground truth enable accurate verification while avoiding the complexity of physical test setups.
3Ease of manufacture
If the tracking system is optimized for commercial viability, then the ease of manufacture and deployment improves, but the ability to handle variations in user motion and type deteriorates
Solution Approach 1:
The patent applies universality by designing a tracking system and test framework that can handle multiple user types and motion variations through a unified approach. The synthesized test data covers diverse scenarios, enabling a single commercial system to maintain high adaptability across different users and motions without requiring multiple specialized systems.
Data Source
AI summary
Technology for testing a target recognition, analysis, and tracking system is provided. A searchable repository of recorded and synthesized depth clips and associated ground truth tracking data is provided. Data in the repository is used by one or more processing devices each including at least one instance of a target recognition, analysis, and tracking pipeline to analyze performance of the tracking pipeline. An analysis engine provides at least a subset of the searchable set responsive to a request to test the pipeline and receives tracking data output from the pipeline on the at least subset of the searchable set. A report generator outputs an analysis of the tracking data relative to the ground truth in the at least subset to provide an output of the error relative to the ground truth.