Event-Based Motion Detection Using Pixel Time Difference Filtering
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Solution Overview
Problem
Current motion recognition technologies for mobile devices face challenges in achieving high accuracy and efficiency due to the complexity of acquiring and processing depth information, often requiring significant computation and time.
Innovation Solution
A method and apparatus that detect movement by identifying events in image data, storing time information for each pixel, calculating time differences, and filtering signals to extract event signals within a predetermined time range, thereby improving motion recognition accuracy and reducing computational complexity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If depth information is acquired using active or passive schemes to improve motion recognition accuracy, then measurement precision is improved, but device complexity and computation time increase significantly
Solution Approach 1:
The patent extracts only the necessary motion information from image data by detecting events (changes) in pixels rather than processing complete depth images. This selective extraction of relevant information reduces computational complexity while maintaining motion recognition accuracy, directly addressing the contradiction between measurement precision and device complexity
Solution Approach 2:
The patent changes the processing parameter from complete depth image data to event-based pixel change data. By monitoring only pixels that undergo changes (events) rather than processing all depth information, the system reduces computation time and complexity while still achieving accurate motion recognition, thus resolving the technical contradiction
2Measurement precision
If complete depth information is processed to ensure accurate motion recognition, then measurement precision is improved, but loss of time increases due to significant computation requirements
Solution Approach 1:
The patent extracts only the essential motion-related events from image data by identifying pixels that undergo changes. This selective extraction eliminates the need to process complete depth information, significantly reducing computation time while maintaining motion recognition accuracy, thereby resolving the contradiction between measurement precision and loss of time
Solution Approach 2:
The patent performs preliminary detection of pixel events (changes) before full motion analysis. By identifying and marking pixels that undergo changes in advance, the system prepares only the necessary data for subsequent processing, reducing the time required for complete motion recognition while maintaining accuracy
Data Source
AI summary
A method and apparatus for detecting a movement of an object based on an event are provided. The apparatus may detect a movement of an object, for example, based on time difference information of a pixel corresponding to an event detected using an event-based vision sensor.