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Describe what you are trying to accomplish and why in non technical terms
Security cameras are typically installed to monitor specific areas where the background remains largely static (e.g., driveways, trees, bushes in exterior settings, or furniture, walls, and windows indoors). Any movement within these static scenes is considered an event for analysis and object detection. However, when the camera's field of view changes, the previously configured masks no longer align with the intended areas, leading to false alerts or missed detections. Even minor shifts in the camera's position can invalidate existing motion, zone, and object masks. Changes in perspective may go unnoticed for some time, generating false alerts, and ultimately result in tedious mask reconfiguration.
Proposed Solution: introduce a feature that allows mask lines to intelligently anchor or snap to the contours or features of static elements within the camera's image. Enable the mask to dynamically adjust to the natural boundaries of objects like walls, furniture, trees, driveways, or other fixed structures within the camera's view. The key benefits of this approach include:
Enhanced Mask Setup: During the mask configuration, users can more easily create masks that conform precisely to the edges and shapes of objects within the camera’s field of view. Masks are accurately aligned with the areas of interest, reducing the risk of misalignment and improving the overall effectiveness of the detection zones.
Adaptive Response to Image Anchors: Once mask lines are anchored to detected image features, changes in the camera's field of view can be rapidly detected, an alert sent, and the existing mask can be automatically invalidated or potentially adjusted to the camera’s new viewpoint.
Describe the solution you'd like
Camera masks that can 'auto-snap' using image outline tracing or other anchoring techniques. Alerts, auto reconfiguration, and/or enhanced mask editor capability.
Other thoughts
Intelligent zone masking is not a new concept, self-driving cars algorithms do this type of work in real-time without user configuration.
The text was updated successfully, but these errors were encountered:
markfrancisonly
changed the title
Intelligent Mask Anchoring for Dynamic Camera Viewpoint Adaptation
Intelligent mask anchoring, invalidation, and adaptation
Aug 24, 2024
This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.
Describe what you are trying to accomplish and why in non technical terms
Security cameras are typically installed to monitor specific areas where the background remains largely static (e.g., driveways, trees, bushes in exterior settings, or furniture, walls, and windows indoors). Any movement within these static scenes is considered an event for analysis and object detection. However, when the camera's field of view changes, the previously configured masks no longer align with the intended areas, leading to false alerts or missed detections. Even minor shifts in the camera's position can invalidate existing motion, zone, and object masks. Changes in perspective may go unnoticed for some time, generating false alerts, and ultimately result in tedious mask reconfiguration.
Proposed Solution: introduce a feature that allows mask lines to intelligently anchor or snap to the contours or features of static elements within the camera's image. Enable the mask to dynamically adjust to the natural boundaries of objects like walls, furniture, trees, driveways, or other fixed structures within the camera's view. The key benefits of this approach include:
Enhanced Mask Setup: During the mask configuration, users can more easily create masks that conform precisely to the edges and shapes of objects within the camera’s field of view. Masks are accurately aligned with the areas of interest, reducing the risk of misalignment and improving the overall effectiveness of the detection zones.
Adaptive Response to Image Anchors: Once mask lines are anchored to detected image features, changes in the camera's field of view can be rapidly detected, an alert sent, and the existing mask can be automatically invalidated or potentially adjusted to the camera’s new viewpoint.
Describe the solution you'd like
Camera masks that can 'auto-snap' using image outline tracing or other anchoring techniques. Alerts, auto reconfiguration, and/or enhanced mask editor capability.
Other thoughts
Intelligent zone masking is not a new concept, self-driving cars algorithms do this type of work in real-time without user configuration.
The text was updated successfully, but these errors were encountered: