Target Point Specification Using Shape Model Fitting
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Solution Overview
Problem
Existing technologies face challenges in accurately specifying target points of objects for calculating their position and speed, particularly in dynamic environments, due to limitations in object detection and tracking systems.
Innovation Solution
An information processing device equipped with a processing circuit, sensor, and output circuit that uses shape model management information to acquire, categorize, and fit shape models to detection points, thereby specifying a target point based on candidate points within the shape model.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a target point is calculated by simply selecting a detection point on the object, then the calculation process is simple, but the accuracy of specifying the target point deteriorates
Solution Approach 1:
The patent pre-calculates and stores multiple candidate points on the object in advance, along with their relationship to the object's position and velocity. When tracking is needed, the system simply selects from these pre-prepared candidate points based on current detection data, avoiding complex real-time calculations while maintaining high accuracy in target point specification.
2Device complexity
If conventional object detection and tracking systems are used, then the system structure is simple, but the reliability of target point specification deteriorates in dynamic environments
Solution Approach 1:
The patent implements a feedback mechanism where the system continuously monitors the object's position and velocity, compares detected values with expected values based on the stored candidate points, and adjusts the selected target point accordingly. This feedback loop ensures reliable target point specification even in dynamic environments where object motion may cause detection variations.
Data Source
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AI summary
According to an arrangement, an information processing device includes an acquirer(20A), a categorizer(20F), a shape fitter(20G), and a specifier(20B). The acquirer is configured to acquire position information of each of a plurality of detection points. The categorizer(20F) is configured to cluster the detection points into one or more detection point groups each representing an object. The shape fitter(20G) is configured to apply a predetermined shape model to each detection point group on the basis of the position information of each of the clustered detection points included in the each detection point group. The specifier(20B) is configured to specify a target point of the object on the basis of the shape model.