Video Surveillance Intrusion Detection via Zone Variance Analysis
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Solution Overview
Problem
Video surveillance systems require constant human attention to detect intrusions, which can lead to missed alerts, and existing image processing systems are costly and resource-intensive for real-time analysis.
Innovation Solution
A method and device that periodically capture and analyze images by dividing them into zones, detecting presence based on average pixel value variations, and transmitting only if a presence is detected, using a detection threshold and variance calculation to reduce unnecessary processing and bandwidth.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If image processing systems analyze images in real time to detect intrusions, then detection reliability is improved, but computing resource requirements increase
Solution Approach 1:
The image is divided into multiple zones, and the system calculates average pixel values for each zone rather than processing the entire image. This segmentation approach reduces the computational load while maintaining detection reliability by focusing on specific regions where intrusions are more likely to occur.
Solution Approach 2:
The patent extracts only the essential features from images - specifically the average pixel values of zones containing moving objects. By extracting only this critical information and transmitting it rather than the full image data, the system achieves reliable intrusion detection with minimal computing resources.
2Reliability
If operators continuously monitor video screens to detect presence or intrusion, then detection coverage is improved, but operator workload and attention requirements increase
Solution Approach 1:
The system performs automatic intrusion detection by analyzing image zones and comparing pixel value variations against thresholds. This self-service capability eliminates the need for continuous human monitoring, as the system autonomously detects and reports intrusions, significantly reducing operator workload while maintaining comprehensive detection coverage.
3Measurement precision
If all captured images are transmitted for analysis, then detection accuracy is improved, but bandwidth and data transmission requirements increase
Solution Approach 1:
The system extracts only the necessary data - average pixel values from zones where movements are detected - and transmits only this extracted information along with images where intrusions are detected. This selective transmission maintains detection accuracy while dramatically reducing bandwidth consumption and energy expenditure compared to transmitting all captured images.
Data Source
AI summary
The present disclosure relates to a video surveillance method comprising steps of a video camera periodically capturing an image of a zone to be monitored, analyzing the image to detect a presence therein, and of the video camera transmitting the image only if a presence has been detected in the image.