Camera Tampering Detection via Image Merging and Motion Analysis
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Solution Overview
Problem
Current camera tampering detection systems in image surveillance face challenges in accurately detecting tampering events, such as changes in camera angle, view blocking, or power outages, especially when dealing with multiple cameras and large volumes of images, leading to inefficiencies and potential errors in resource management.
Innovation Solution
A method and system that utilize a combination of foreground ratio analysis, pixel value difference detection, and global motion vector analysis to determine camera tampering, pre-processing multiple images into a single image for efficient analysis, and applying weights to pixel value differences to assess changes over time, thereby enhancing detection accuracy and resource utilization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple images from multiple cameras are processed separately for tampering detection, then detection coverage is comprehensive, but system resource consumption increases and processing efficiency decreases
Solution Approach 1:
The patent combines multiple images from different camera channels into a single composite image for unified processing. This merging approach maintains comprehensive detection coverage while significantly reducing system resource consumption and improving processing efficiency, as the system processes one integrated image rather than multiple separate images independently
2Measurement precision
If traditional tampering detection methods are used without pre-processing, then implementation is simple, but detection accuracy decreases and resource management becomes inefficient
Solution Approach 1:
The patent implements pre-processing operations including combining multiple images, converting to grayscale, and applying Gaussian blur before tampering detection. These preliminary actions enhance detection accuracy by improving image quality and reducing noise, while the structured approach to pre-processing keeps system complexity manageable through modular design
3Measurement precision
If foreground ratio analysis alone is used for tampering detection, then the method is simple to implement, but detection accuracy decreases in complex scenes
Solution Approach 1:
The patent employs a composite detection approach that integrates multiple analysis methods: foreground ratio analysis, pixel value difference analysis, and global motion vector analysis. This composite methodology maintains simplicity in individual components while achieving high detection accuracy in complex scenes through the synergistic combination of multiple techniques
4Speed
If real-time processing of multiple high-resolution images is performed, then detection speed is fast, but system resource consumption becomes excessive
Solution Approach 1:
The patent performs pre-processing operations including image combination, grayscale conversion, and Gaussian blur before detection. These preliminary actions reduce the complexity and resource requirements of subsequent detection operations, enabling real-time processing of multiple high-resolution images without excessive resource consumption
Data Source
AI summary
A method of detecting camera tempering and a system therefor are provided. The method includes: performing at least one of following operations: (i) detecting a size of a foreground in an image, and determining whether a first condition, that the size exceeds a first reference value, is satisfied, (ii) detecting change of a sum of the largest pixel value differences among pixel value differences between adjacent pixels in selected horizontal lines of the image, according to time, and determining whether a second condition, that the change lasts for a predetermined time period, is satisfied, and (iii) adding up a plurality of global motion vectors with respect to a plurality of images, and determining whether a third condition, that a sum of the global motion vectors exceeds a second reference value, is satisfied; and determining occurrence of camera tempering if at least one of the corresponding conditions is satisfied.