Video Security Position Tracking with Dynamic Coordinate Updates
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Solution Overview
Problem
Existing security systems struggle to accurately update the position of monitored areas within video images when the camera pose changes, leading to mispositioning and false alerts.
Innovation Solution
A method that acquires initial coordinate data of a target area, tracks its position in subsequent video images, determines if the camera pose has changed, and updates the initial coordinate data accordingly to maintain accurate positioning.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the camera pose changes, then the field of view changes, but the target area position becomes inaccurate
Solution Approach 1:
The system continuously tracks the target area in each video image and compares the tracked position with the initial coordinate data. When a deviation is detected (indicating camera pose change), the system updates the coordinate data to reflect the new position, creating a closed-loop feedback mechanism that maintains accuracy despite camera movement
Solution Approach 2:
The system transitions from using static initial coordinate data to dynamically updated coordinate data. By continuously tracking the target area and updating coordinates based on tracked position, the system adapts to changing camera poses while maintaining measurement precision
2Device complexity
If the target area position is not updated, then the system is simpler, but misrecognition and false alerts occur
Solution Approach 1:
The system uses the video images themselves to automatically track and update the target area position without requiring external intervention or complex additional sensors. The tracking algorithm processes the video data to self-correct coordinate deviations, maintaining reliability through self-service mechanisms
Data Source
AI summary
The present disclosure relates to a method for updating a position of an area, a security system, and a computer-readable storage medium. The method includes: acquiring initial coordinate data of a target area in a video image; tracking a position of the target area in each of subsequent video images according to the initial coordinate data and each of the subsequent video images to obtain a recognition result; when the recognition result includes target coordinate data, determining whether a pose of a camera has changed; and, in response to determining that the pose of the camera has changed, updating the initial coordinate data according to the target coordinate data, to update the position of the target area in each of the subsequent video images.


