Tracking Device Integrating Optical Flow and Overhead Image Detection
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Solution Overview
Problem
Existing tracking systems face challenges in continuously tracking moving bodies, especially when optical flow detection or overhead image detection is impossible or unreliable.
Innovation Solution
A tracking device that integrates optical flow analysis, overhead image processing, and association units to detect and confirm the position and movement of moving bodies, allowing for continuous tracking even in challenging conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If optical flow detection is used to detect moving bodies, then detection speed is improved, but detection reliability deteriorates when optical flow detection is impossible or unreliable
Solution Approach 1:
The patent combines multiple detection methods (optical flow detection, overhead image detection, and association detection) into a unified tracking system. When optical flow detection fails or becomes unreliable, the system switches to or integrates with overhead image detection and association-based tracking, ensuring continuous and reliable moving body detection without sacrificing detection speed.
Solution Approach 2:
The system dynamically changes detection parameters and methods based on detection conditions. When optical flow detection is unreliable, the system transitions to alternative detection parameters and methods (overhead image processing, association tracking), maintaining detection reliability while preserving detection speed through efficient parameter switching.
2Reliability
If multiple detection methods are integrated to improve tracking reliability, then detection reliability is improved, but device complexity increases
Solution Approach 1:
The patent divides the tracking system into distinct functional modules: optical flow detection unit, overhead image detection unit, association unit, and tracking unit. Each module performs a specific detection function, and they are integrated through a unified tracking framework. This segmentation allows the system to achieve high reliability through multiple detection methods while managing complexity through modular architecture.
Solution Approach 2:
The tracking device is designed with multi-functional capability, where a single tracking unit can utilize multiple detection methods (optical flow, overhead images, association) depending on conditions. This universality allows the system to maintain high tracking reliability across different scenarios without requiring separate dedicated systems for each detection method, thereby controlling overall complexity.
3Measurement precision
If overhead image detection is used to detect moving bodies, then detection accuracy is improved, but processing time increases
Solution Approach 1:
The system applies overhead image detection selectively rather than continuously. It uses optical flow detection for rapid initial detection and reserves overhead image detection for cases where higher accuracy is needed or when optical flow detection is unreliable. This partial application of the more accurate but slower method reduces overall processing time while maintaining detection accuracy when necessary.
Solution Approach 2:
The system performs preliminary detection using faster optical flow methods before applying more computationally intensive overhead image detection. This preliminary action filters out cases that don't require high-accuracy detection, reducing the number of overhead image processing operations needed and thereby reducing total processing time while maintaining accuracy for cases that require it.
Data Source
AI summary
A tracking device includes: an imaging unit that inputs an image into an image input unit; a first moving body detection unit that calculates an optical flow and detects a position and a direction of movement of a moving body based on the calculated optical flow; a second moving body detection unit that detects a position and a direction of movement based on a plurality of overhead images generated; a third moving body detection unit that detects a position and a direction of movement by integrating detection results from the first and second moving body detection units; a tracked moving body confirmation unit that determines a moving body to be tracked based on detection results from the first to third moving body detection units; an estimation unit that estimates a future position and direction of movement; and a tracking unit that tracks the tracked moving body and identifies a position.