Cross-Device Tracking Picture Switching in Video Surveillance
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Solution Overview
Problem
Existing video surveillance systems face difficulties in managing cross-device tracking picture switching for multiple monitoring devices, requiring complex calculations and extensive computing logic, which complicates the integration of management platforms.
Innovation Solution
A method and apparatus for determining picture switching that involves issuing tracking tasks to multiple monitoring devices, receiving detection events based on the target object's presence in acquired video pictures, and determining when to perform cross-device tracking picture switching based on preset conditions for object crossing acquisition areas.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the management platform performs complex calculations to determine cross-device tracking picture switching, then the tracking accuracy is improved, but the device complexity and integration difficulty increase
Solution Approach 1:
The system divides the picture switching determination function into two parts: monitoring devices calculate their own detection events (object entering/leaving acquisition area) independently, and the management platform only performs simple integration of these events. This segmentation reduces the computational burden on the management platform while maintaining tracking accuracy.
Solution Approach 2:
Monitoring devices autonomously calculate detection events based on their acquired video pictures and report them to the management platform. This self-service approach eliminates the need for the management platform to perform complex calculations, reducing its integration difficulty while preserving tracking precision.
2Measurement precision
If the management platform integrates extensive computing logic for picture switching, then the switching accuracy is improved, but the ease of operation and integration deteriorate
Solution Approach 1:
The complex calculation logic for determining detection events is extracted from the management platform and relocated to the monitoring devices. The management platform only needs to integrate the simple detection event information reported by devices, significantly improving ease of operation while maintaining switching accuracy through the preserved event detection capabilities.
3Area of stationary object
If multiple monitoring devices are deployed for comprehensive monitoring, then the monitoring coverage is improved, but the device complexity and computing requirements increase
Solution Approach 1:
Each monitoring device independently calculates detection events for its own acquisition area, segmenting the complex multi-device coordination problem into independent per-device calculations. The management platform simply integrates these segmented results, enabling comprehensive monitoring coverage without proportionally increasing system complexity.
Data Source
AI summary
Provided in embodiments of the present application are a method and an apparatus for determining picture switching, an electronic device, and a storage medium. The method comprises: issuing tracking tasks for a target object to designated multiple monitoring devices; receiving detection events reported by the monitoring devices, wherein the detection events are event information reported by the monitoring devices based on presence statuses of the target object in acquired video pictures; and determining to perform cross-device tracking picture switching when a received detection event satisfies a preset condition for an object crossing an acquisition area; wherein, the object crossing the acquisition area means that the target object enters or leaves the acquisition area of one of the multiple monitoring devices. Compared with the prior art, applying the solution provided by the embodiments of the present application can reduce the integration difficulty of a management platform of a monitoring system.