Object Position Detection Using Stereo and Single-Eye Tracking
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Solution Overview
Problem
Existing object tracking systems face challenges in maintaining accurate tracking of objects when they deviate from the image pickup view angle, leading to potential reductions in tracking accuracy due to increased computational load and distance variations.
Innovation Solution
An object position detection device comprising multiple image pickup units, a stereo distance detection unit, position detection units, an orientation detection unit, and a determination unit, which work together to accurately detect object position and orientation irrespective of view angle and distance by utilizing parallax calculations and pattern recognition, ensuring continuous and precise tracking.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If 3D recognition is used to track objects, then distance detection capability is improved, but tracking accuracy deteriorates when objects deviate from the image pickup view angle
Solution Approach 1:
The patent introduces a determination unit as an intermediary that selects between two distance detection methods (stereo distance detection and single-eye distance detection) based on object position. This mediator resolves the contradiction by choosing the appropriate method: stereo detection for objects within the view angle (good for accuracy) and single-eye detection for objects at the boundaries (maintains reliability)
Solution Approach 2:
The system dynamically switches between different distance detection methods based on the object's position relative to the view angle. The determination unit continuously monitors object position and adjusts the detection method in real-time, making the system adaptive to changing conditions and resolving the static limitation of using only one detection method
2Measurement precision
If multiple image pickup units are used for stereo distance detection, then distance detection accuracy is improved, but device complexity increases
Solution Approach 1:
The patent segments the distance detection function into two distinct methods: stereo distance detection (using multiple image pickup units) and single-eye distance detection (using one image pickup unit). The determination unit divides the operational scenarios and assigns the appropriate method, reducing overall system complexity by not requiring the stereo system to handle all cases
3Productivity
If single-eye distance detection is used to reduce computational load, then processing speed is improved, but distance detection accuracy deteriorates
Solution Approach 1:
The patent applies local quality by using different detection methods in different spatial regions. Single-eye detection is applied at the boundaries of the view angle where stereo detection is less effective, while stereo detection is used in the central region where it provides superior accuracy. This localized approach optimizes both speed and accuracy in their respective domains
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The device ensures accurate detection and tracking of object positions and orientations, even when objects deviate from the image pickup view angle, thereby maintaining high accuracy and reliability across varying distances and angles.
Implementation Method 1
a first distance detection unit that detects a distance of an object from images derived from a first image pickup unit and a second image pickup unit
Data Source
AI summary
An object position detection device includes a first distance detection unit detecting a distance of an object from images, a first position detection unit detecting a position of the object based on the distance, a processing area which contains the object detected by the first distance detection unit in images, a second position detection unit that detects a position of the object in the processing area, a second distance detection unit that detects a distance of the object based on the position of the object detected by the second position detection unit, a unit that detects an orientation of the object based on the position of the object detected by the second position detection unit, and a determination unit that determines the distance and the position of the object in accordance with information of detections executed by the first and the second distance detection units, and the orientation detection unit.