Distributed Object Tracking via Cluster Management
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Solution Overview
Problem
Conventional image analysis devices struggle to concatenate analysis results from multiple video streams, making it difficult to track objects across different camera inputs effectively.
Innovation Solution
A distributed object tracking system comprising multiple image analysis devices and a cluster management service device that analyzes real-time video streams from cameras and concatenates analysis results to form object trajectories, with features like alarm generation for prolonged object presence and customizable tracking settings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple image analysis devices analyze objects in separate video streams independently, then each device can perform simple single-stream analysis, but the analysis results cannot be concatenated for cross-camera object tracking
Solution Approach 1:
The patent introduces a cluster management service device as an intermediary between multiple image analysis devices. This mediator collects analysis results from various devices, performs trajectory concatenation across different video streams, and coordinates tracking information. The intermediary resolves the contradiction by enabling cross-camera tracking without requiring each individual device to handle complex multi-stream analysis, thus maintaining device simplicity while achieving reliable object tracking across the network.
2Reliability
If a centralized system concatenates analysis results from multiple image analysis devices, then object tracking across cameras is achieved, but system complexity and computational load increase
Solution Approach 1:
The patent segments the object tracking system into independent image analysis devices that each handle simple single-stream analysis, and a separate cluster management service that handles the complex trajectory concatenation. This segmentation allows each component to specialize in its function, reducing individual device complexity while achieving reliable multi-camera tracking through the coordinated efforts of segmented system components.
3Reliability
If image analysis devices process multiple video streams simultaneously, then comprehensive object detection is achieved, but processing time and computational resources increase
Solution Approach 1:
The patent applies partial action by having each image analysis device process only its assigned single video stream independently, rather than all devices processing all streams. This partial processing approach reduces individual device computational load and processing time, while the cluster management service aggregates these partial results to achieve comprehensive multi-stream object detection and tracking.
Data Source
AI summary
A distributed object tracking system includes a plurality of image analysis devices and a cluster management service device connected to the plurality of image analysis devices, wherein each image analysis device analyzes an object in a corresponding real-time video stream to generate an analysis result for tracking the object, and the cluster management service device includes a tracking module to form a trajectory of the object according to the analysis result generated by each of the plurality of image analysis devices.