Video Region Management via Person-Region Intersection Detection
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Solution Overview
Problem
Existing region management and control systems require manual real-time monitoring of surveillance videos, leading to high labor costs and inefficiencies in detecting illegal intrusions into specific regions.
Innovation Solution
A region management and control method that involves obtaining current video images and target region graphics, determining if a person graphic meets predetermined conditions such as space, identity, time, protection, number, or body temperature conditions, and sending alarm information accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual real-time monitoring of surveillance videos is used, then region management and control can be implemented, but labor cost increases and detection efficiency decreases
Solution Approach 1:
The patent replaces the mechanical manual monitoring system with an automated computer vision system. The system uses image processing algorithms to automatically detect person graphics in video frames, determine their bounding boxes, and check for intersections with target region graphics. This substitution eliminates the need for manual real-time video watching while maintaining high detection accuracy for illegal intrusions.
2Productivity
If automated image processing is implemented, then labor cost decreases and detection efficiency increases, but system complexity increases
Solution Approach 1:
The patent segments the monitoring task into distinct processing stages: obtaining current video images, detecting person graphics and their bounding boxes, obtaining target region graphics and their bounding boxes, and checking for intersections between these graphics. This segmentation allows each stage to be handled by specialized algorithms, improving overall detection efficiency while making the system more manageable despite increased complexity.
Solution Approach 2:
The patent uses graphic representations (bounding boxes) as simplified copies of actual persons and regions. Instead of processing complex video data directly, the system creates and manipulates simplified rectangular graphics that represent people and target regions. This copying approach significantly reduces computational complexity while maintaining detection accuracy.
3Measurement precision
If multiple condition checks are performed (space, identity, time, protection, number, temperature), then detection accuracy improves, but processing time increases
Solution Approach 1:
The patent performs preliminary spatial intersection checks between person graphics and target region graphics before conducting more complex identity verification, time validation, or temperature assessment. By quickly eliminating cases where no spatial intersection exists, the system reduces the number of subjects requiring further detailed analysis, thereby reducing overall processing time while maintaining high detection precision for actual intrusions.
Data Source
AI summary
The present application provides a region management and control method, device, apparatus and storage medium. The region management and control method includes: obtaining a current image in a video image and a target region graphic included in the current image; determining whether a person graphic in the current image and the target region graphic meet a predetermined condition; and sending alarm information in response to the person graphic in the current image and the target region graphic meeting the predetermined condition. The predetermined condition includes at least one of: a space condition, a person identity condition, a time condition, a person protection condition, a person number condition or a person body temperature condition.