Display Motion Exclusion via Object Recognition Masking
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Solution Overview
Problem
Motion detectors often incorrectly identify motion from display screens as actual motion within a room, leading to false alarms, and it is cumbersome for users to manually exclude zones for display devices and their reflections in motion detection systems.
Innovation Solution
A system that uses object recognition to identify display screens within a camera's field of view, displays control images to determine their locations, and masks or flags these areas for future motion detection, accessing video program information to confirm and exclude motion from display devices and their reflections.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If motion detection is performed in the entire field of view, then motion events can be detected, but false alarms occur due to motion on display screens
Solution Approach 1:
The field of view is segmented into multiple zones, with display screen areas identified and excluded from motion detection. Object recognition technology automatically identifies display screens and creates exclusion zones, allowing motion detection to focus only on relevant areas while ignoring motion on display screens.
Solution Approach 2:
An intermediary processing layer is introduced between motion detection and alarm generation. This layer uses object recognition to identify display screens and automatically creates exclusion zones, acting as a mediator that filters out false motion signals before they trigger alarms.
2Object-generated harmful factors
If users manually exclude zones for display devices, then false alarms can be reduced, but the process is cumbersome and time-intensive
Solution Approach 1:
The system performs self-configuration by automatically detecting display screens using object recognition and generating exclusion zones without user intervention. The system serves itself by autonomously identifying display devices and setting up the appropriate motion detection exclusions.
Solution Approach 2:
The system performs preliminary automatic identification and zoning of display screens before motion detection begins. By pre-configuring exclusion zones based on automatic object recognition, the system eliminates the need for users to manually set up zones during installation.
3Measurement precision
If users manually configure motion detection zones, then detection accuracy can be improved, but the operation becomes complex and impractical
Solution Approach 1:
The system automatically performs zone configuration by detecting display screens and generating exclusion zones autonomously. This self-service approach maintains high detection precision while eliminating the operational complexity of manual zone configuration.
Solution Approach 2:
The system performs preliminary automatic zone generation based on detected display screen locations. By pre-configuring precise exclusion zones automatically, the system achieves high measurement precision without requiring users to perform complex manual configuration tasks.
Data Source
AI summary
Systems, apparatuses, and methods are described for allowing a motion-detecting system to distinguish and/or mask motion that originates from a display screen. One method includes: capturing, by a computing device associated with a motion detector, an image of a field of view of the motion detector. The computing device may determine, based on object recognition, one or more candidate display areas within the image of the field of view. Based on the determined candidate display areas within the image, the computing device may generate a mask corresponding to the field of view. The computing device may exclude, from motion detection, motion occurring within the mask of the field of view.