Object Tracking Integration Apparatus for Multi-Camera Surveillance
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Solution Overview
Problem
Existing surveillance systems require manual monitoring and suffer from limited field of view, necessitating multiple cameras and manual association of images from different cameras.
Innovation Solution
An object tracking integration method and apparatus that associate targets detected in images from multiple image capturing apparatuses, merging detection results to increase surveillance range and mitigate blind spots.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If multiple image capturing apparatuses are deployed to increase surveillance range, then monitoring coverage is improved, but device complexity and manual association requirements increase
Solution Approach 1:
The patent merges detection results from multiple image capturing apparatuses by matching target objects across different cameras. The integrating apparatus combines detection data from multiple sources into a unified result, automatically associating targets across cameras without manual intervention, thus increasing monitoring coverage while managing system complexity through automated integration
Solution Approach 2:
The integrating apparatus serves as an intermediary between multiple image capturing apparatuses. It receives detection results from various cameras, performs matching and integration operations, and produces consolidated monitoring results, thereby simplifying the overall system architecture by centralizing the association function
2Measurement precision
If manual monitoring is used to check association between different images, then detection accuracy is improved, but productivity and time consumption worsen
Solution Approach 1:
The system implements self-service by enabling automated matching and integration of detection results from multiple cameras. The integrating apparatus autonomously performs target association across different image sources using algorithms that compare detection data, eliminating the need for manual monitoring while maintaining accurate target identification and tracking
Solution Approach 2:
The patent incorporates feedback mechanisms where the integrating apparatus continuously refines target matching by comparing detection results across multiple cameras and time frames. The system uses tracking information and detection data feedback to improve association accuracy automatically, maintaining high detection precision while operating at automated speeds
3Area of stationary object
If multiple image capturing apparatuses are deployed to eliminate blind spots, then monitoring coverage is improved, but cost and device complexity increase
Solution Approach 1:
The patent merges the functional capabilities of multiple image capturing apparatuses through the integrating apparatus, which combines detection results and creates a unified surveillance view. By integrating data from multiple cameras and automatically associating targets across them, the system achieves comprehensive coverage while optimizing the use of each individual camera's field of view
Data Source
AI summary
An object tracking integration method and an integrating apparatus are provided. In the method, one or more first images and one or more second images are obtained. The first image is captured from a first capturing apparatus, and the second image is captured from a second capturing apparatus. One or more target objects in the first image and in the second image are detected. A detection result of the target object in the first image and a detection result of the target object in the second image are matched. The detection result of the target object is updated according to a matching result between the detection results of the first image and the second image. Accordingly, the accuracy of the association and the monitoring range may be improved.