Dynamic Background Integration Time for Privacy Protection
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Solution Overview
Problem
Existing image processing techniques fail to dynamically update the background integration time for regions in images, leading to inadequate privacy protection for objects that should be integrated with the background.
Innovation Solution
An image processing apparatus that extracts features from input images, sets a background integration time for each feature, and updates the background image accordingly, allowing for dynamic adjustment based on the necessity of privacy protection for different objects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a fixed time interval is used for background update, then the system operation is simple, but privacy protection accuracy deteriorates because objects that should be integrated with background cannot be immediately integrated
Solution Approach 1:
The patent applies dynamics by transitioning from a fixed time interval background update mechanism to a dynamic update mechanism where the background integration time is adjusted based on object characteristics. The setting unit determines different background integration times for different objects (e.g., longer for humans, shorter for vehicles), allowing the system to adaptively update backgrounds based on the specific object being tracked, thereby improving privacy protection accuracy without excessive complexity
Solution Approach 2:
The patent changes the parameter of background integration time from a fixed value to a variable parameter that depends on object type. The setting unit modifies the background integration time parameter based on detected object characteristics, enabling differentiated privacy protection for different objects while maintaining system operability
2Reliability
If background integration time is extended for all objects, then privacy protection is improved, but processing efficiency deteriorates because objects that should be integrated with background are delayed
Solution Approach 1:
The patent applies local quality by assigning different background integration times to different objects based on their characteristics. Instead of using a uniform integration time for all objects, the setting unit determines object-specific integration times (e.g., longer for humans requiring stronger privacy protection, shorter for vehicles), thereby improving privacy protection effectiveness for sensitive objects while maintaining processing efficiency for less sensitive objects
3Productivity
If background integration time is shortened for all objects, then processing efficiency is improved, but privacy protection deteriorates because objects requiring protection are integrated into background too quickly
Solution Approach 1:
The patent applies local quality by implementing object-specific background integration times that reflect the privacy protection requirements of different object types. The setting unit determines longer integration times for objects requiring strong privacy protection (e.g., humans) and shorter times for objects with lower privacy requirements (e.g., vehicles), ensuring adequate privacy protection while maintaining overall processing efficiency
Data Source
AI summary
An image processing apparatus extracts a plurality of features from an input image, sets a background integration time for each of the plurality of extracted features, and updates a background image based on the background integration times corresponding to the plurality of extracted features.


