Feet Position Estimation Using Head Reference Images
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Solution Overview
Problem
Existing person recognition systems, such as those described in Patent Literature 1, lack accuracy in detecting the feet position of a person when it is hidden, which hinders the generation of accurate trajectory information for security enhancements in public facilities.
Innovation Solution
An information processing device comprising a reference image generation unit, a comparative image generation unit, an adjustment unit, and a feet estimation unit, which generates and compares reference and comparative images to adjust the head position in the tracking image, allowing for accurate estimation of the feet position using machine learning and deep learning techniques.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a filter is used to detect the head of a target person from an image, then the head detection process is simplified, but the accuracy of head detection is insufficient
Solution Approach 1:
The patent creates a reference image by extracting and copying the head portion from a whole-body image. This reference image is then used to guide the detection process in tracking images, allowing the system to accurately identify the head position by comparing against the known reference rather than relying solely on filters.
Solution Approach 2:
The reference image serves as an intermediary element between the whole-body image and the tracking image. By introducing this intermediate reference, the system can bridge the gap between having complete body information and needing accurate head detection in situations where the full body is not visible.
2Adaptability or versatility
If the feet position is hidden in the tracking image, then the tracking image can capture important movement information, but the accuracy of feet position estimation deteriorates
Solution Approach 1:
The patent segments the image into a head portion (extracted from the whole-body image) and the rest of the body portion (from the tracking image). By separating these segments, the system can use the known head position from the reference to infer the feet position, even when the feet are hidden in the tracking image.
Solution Approach 2:
The system transitions from two-dimensional image data to three-dimensional spatial reasoning by using the known head position and assumed body height to calculate the feet position. This dimensional approach allows the system to infer hidden information based on geometric relationships.
3Measurement precision
If multiple assumed heights are used to generate movement trajectories, then the height estimation accuracy is improved, but the computational complexity increases
Solution Approach 1:
The patent performs preliminary action by extracting the head portion from the whole-body image and creating a reference image before the actual tracking process. This pre-extraction eliminates the need to test multiple assumed heights during tracking, as the head position is already known from the reference image.
Solution Approach 2:
The system extracts only the necessary information (head position) from the whole-body image to create the reference image. This extraction approach eliminates the need to process multiple assumed heights, reducing computational complexity while maintaining accuracy.
Data Source
AI summary
An information processing device includes a reference image generation unit that generates a reference image by using a partial area including a head of a tracking target in a whole-body image of the tracking target, a comparative image generation unit that generates a comparative image to be used for comparison with the reference image by using the partial area containing the head of the tracking target in a tracking image of the tracking target where feet are not contained, an adjustment unit that compares the reference image with the comparative image, and adjusts a position of the head of the tracking target in the comparative image, and a feet estimation unit that estimates a position of the feet of the tracking target in the tracking image by using the comparative image where the position of the head of the tracking target is adjusted.


