Image Tracking via Coordinate Correction for Orientation Changes
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Solution Overview
Problem
Existing object tracking systems fail to continuously track objects due to changes in orientation and posture, which affect feature detection and comparison, leading to difficulties in maintaining object detection and tracking.
Innovation Solution
An image capturing control apparatus that detects and corrects coordinates of multiple object parts, generates tracking coordinates based on these corrections, and adjusts the image capturing range to ensure continuous tracking, even when object features change.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If feature-based object detection is used to improve detection accuracy, then detection precision is improved, but when object orientation and posture change, feature comparison fails and tracking reliability deteriorates
Solution Approach 1:
The patent transforms the detection approach from feature-based (which fails when orientation/posture change) to coordinate-based detection. By detecting coordinates of multiple body parts and calculating tracking coordinates through coordinate correction and averaging, the system maintains reliable tracking continuity regardless of object orientation or posture changes.
2Reliability
If multiple parts of the object are detected to improve tracking robustness, then tracking reliability is improved, but the complexity of coordinate processing and correction increases
Solution Approach 1:
The system automatically corrects coordinates of detected body parts based on preset magnification and relative position relationships, then calculates tracking coordinates through averaging. This self-service coordinate processing mechanism handles the complexity internally while providing reliable tracking output, reducing the need for external intervention or complex manual processing.
3Measurement precision
If feature registration is performed in advance to improve detection accuracy, then detection precision is improved, but adaptability to changing object orientations and postures deteriorates
Solution Approach 1:
The patent implements a dynamic tracking coordinate calculation that adapts to changing object orientations and postures. Instead of relying on static pre-registered features, the system continuously detects coordinates of multiple body parts, corrects them based on preset relationships, and calculates new tracking coordinates in real-time, enabling adaptation to dynamic pose changes.
Data Source
AI summary
An image capturing control apparatus includes a processor and a memory storing executable instructions which, when executed by the processor, cause the image capturing apparatus to perform operations including detecting coordinates indicating each of a plurality of parts of an object from an image captured by an image capturing unit, correcting the detected coordinates to corrected coordinates for each of the plurality of parts calculated based on a preset magnification and relative position, generating a tracking coordinate based on a plurality of the corrected coordinates each indicating different parts of the object and a distance of the plurality of the corrected coordinates, the distance being within a threshold, and controlling an image capturing range of the image capturing unit based on the generated tracking coordinates.