Multi-Camera Object Tracking with Common Coordinate Integration
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Solution Overview
Problem
Existing object tracking systems face challenges in maintaining accuracy when cameras are positioned far from the object, leading to degraded integration of tracking results and reduced detection precision.
Innovation Solution
An object tracking apparatus that generates detection results from multiple sensors using a common coordinate system, integrating tracking information to enhance accuracy by associating and transforming data across different sensors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If a camera is positioned far from the object to track, then the coverage area increases, but the tracking accuracy degrades
Solution Approach 1:
The patent combines detection results from multiple cameras (first sensor and second sensor) to track the same object. By merging data from multiple viewing angles and distances, the system achieves both wide coverage and high tracking accuracy that would be difficult to obtain from a single distant camera.
Solution Approach 2:
The patent introduces a coordinate transformation mechanism that acts as an intermediary to unify detection results from different camera coordinate systems into a common coordinate system. This mediator enables accurate integration of tracking information from cameras at different positions and distances.
2Measurement precision
If multiple sensors are used to improve tracking accuracy, then the detection precision increases, but the device complexity increases
Solution Approach 1:
The patent creates a unified tracking system that processes detection results from multiple sensors through a common coordinate transformation framework. This multi-functional approach allows the same processing logic to handle data from any camera in the network, reducing overall system complexity despite using multiple sensors.
Solution Approach 2:
The patent transforms detection parameters from individual sensor coordinate systems into a common coordinate system through mathematical transformation. This parameter change enables consistent integration of data from multiple sensors without requiring complex custom processing for each sensor pair.
3Reliability
If detection results from multiple cameras are integrated, then the tracking reliability improves, but the difficulty of detecting and measuring increases
Solution Approach 1:
The patent applies coordinate transformation to convert detection parameters from various camera coordinate systems into a unified common coordinate system. This systematic parameter transformation simplifies the integration process and makes it more manageable despite the complexity of multiple data sources.
Data Source
AI summary
An object tracking apparatus, method and computer-readable medium for detecting an object from output information of sensors, tracking the object on a basis of a plurality of detection results, generating tracking information of the object represented in a common coordinate system, outputting the tracking information, and detecting the object on a basis of the tracking information.