Surveillance Camera Motion Region Filtering
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Solution Overview
Problem
Surveillance cameras and digital video recorders face challenges in transmitting high-resolution video data over narrow communication networks, resulting in unclear video displays at client terminals due to high compression rates, which reduce surveillance effectiveness.
Innovation Solution
Incorporating an analog-to-digital converter and a main controller that converts analog video signals into digital data, detects current motion regions, and applies low pass filtering to remove high frequency components, thereby reducing data transmission while maintaining essential video clarity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If digital video data is compressed at a high compression rate to reduce the amount of transmitted data, then the bandwidth requirement is reduced, but the video clarity is degraded resulting in unclear videos at client terminals
Solution Approach 1:
The video data is divided into multiple regions based on motion detection, with different processing applied to each region. Motion regions are segmented and preserved with high frequency components, while static regions are processed with low pass filtering to remove high frequency components, enabling differential compression strategies for different areas of the video frame
Solution Approach 2:
Different quality levels are applied to different regions of the video data. Motion regions maintain high quality with preserved high frequency components, while static regions are transmitted at lower quality with high frequency components removed. This allows the system to optimize bandwidth usage while preserving critical visual information where it matters most
2Manufacturing precision
If high-resolution live view video data is transmitted to client terminals over the communication network, then the video clarity is improved, but the network bandwidth requirement increases making transmission difficult
Solution Approach 1:
The patent extracts and removes high frequency components from static regions of the video data using low pass filtering. By taking out these redundant high frequency components from areas that do not contain motion, the system significantly reduces the amount of data that needs to be transmitted while maintaining perceptual quality in regions that matter most
Solution Approach 2:
The system performs motion detection and region classification before compression and transmission. By identifying motion regions in advance and preparing differential processing for different regions, the system optimizes the compression process to preserve necessary details while eliminating redundant information, achieving efficient bandwidth utilization
Data Source
AI summary
Disclosed is a surveillance apparatus such as a surveillance camera and a digital video recorder. The surveillance apparatus includes: an analog-to-digital converter configured to convert an analog video signal, of at least one image of a region captured by an optical system, into digital video data of the region; and a main controller configured to detect a current motion region from the digital video data of the region, remove a high frequency component of the region except the current motion region, and transmit the digital video data of the region, from which the high frequency component is removed, to a target device over a communication network.