3D Image Mask Analysis for Surveillance Depth Accuracy
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Solution Overview
Problem
Conventional image surveillance apparatuses struggle to accurately determine whether a target object is inside or outside a building when setting an image mask, often misjudging the object's location and incorrectly applying the mask.
Innovation Solution
A 3D image mask analysis method that uses depth information to set a 3D image mask within a surveillance image and compares the depth information of the mask with the target object to determine its position relative to the mask, ensuring accurate display or concealment of the object based on its location.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional image mask is used to shelter specific area, then privacy protection is improved, but location identification accuracy deteriorates
Solution Approach 1:
The patent transitions from 2D image mask to 3D image mask by introducing depth information. The 3D mask includes depth coordinate z along with x and y coordinates, enabling the system to distinguish objects in front of versus behind the mask plane. This dimensional expansion resolves the contradiction by maintaining privacy protection while improving location identification accuracy through depth-based differentiation.
Solution Approach 2:
The patent introduces depth information as an intermediary parameter between the image mask and target object. By comparing the depth coordinate z of the mask with the depth of the detected object, the system can determine whether the object is in front of or behind the mask, thereby accurately identifying location while maintaining privacy protection in the sheltered area.
2Reliability
If image mask is set on building entrance, then privacy protection is improved, but misjudgment of target object location occurs
Solution Approach 1:
By adding the depth dimension z to the traditional 2D mask coordinates (x, y), the system can now distinguish whether a target object is located in front of or behind the mask plane. This resolves the misjudgment problem at building entrances by providing depth-based location information, ensuring that objects in public areas (in front of mask) are not incorrectly sheltered while maintaining privacy for objects inside buildings (behind mask).
Data Source
AI summary
A 3D image mask analysis method is applied to an image surveillance apparatus having an image receiver and an operation processor. The 3D image mask analysis method includes establishing a 3D image mask with first depth information inside a surveillance image acquired by the image receiver, utilizing an object identification technology to acquire second depth information of a target object at least partly overlapped with the 3D image mask inside the surveillance image, and comparing the first depth information to the second depth information so as to determine whether an image of the target object is displayed inside the surveillance image in accordance with a comparison result.