Store-Entering Person Attribute Extraction Using Timing Detection
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Solution Overview
Problem
Existing systems lack the capability to accurately and efficiently extract and associate personal attributes of individuals entering a store with their entry timing and path data, especially when multiple individuals overlap or enter the store simultaneously.
Innovation Solution
A store-entering person attribute extraction apparatus comprising a timing detector, an extraction unit, and an associating unit, which uses image capturing devices to detect boundary crossing timings and extract attributes such as age, gender, and stature, associating these with the detected timings and paths using databases and filtering techniques to accurately identify and differentiate individuals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple image capturing devices are used to capture store-entering persons from different positions, then the accuracy of detecting boundary crossing timing and extracting personal attributes is improved, but the device complexity increases
Solution Approach 1:
The patent combines multiple image capturing devices (first image capturing device at the front entrance and second image capturing device directly above the entrance) to capture images of persons entering the store. By merging the functionality of multiple devices and coordinating their operations through timing detection, the system achieves accurate boundary crossing timing detection and personal attribute extraction without requiring each device to independently perform all functions.
Solution Approach 2:
The patent introduces a timing detector as an intermediary component that detects boundary crossing timing based on images from multiple capturing devices. This intermediary synchronizes the data from different devices, enabling accurate association of personal attributes with entry timing without requiring direct complex interaction between the image capturing devices themselves.
2Reliability
If image processing is performed to extract personal attributes such as age, gender, and stature, then the quality of store entry data is improved, but the processing time increases
Solution Approach 1:
The system performs preliminary actions by capturing images at strategically positioned locations (front entrance and directly above entrance) before the person fully enters the store. The timing detector identifies boundary crossing timing in advance, allowing the attribute extraction unit to process images at optimal moments when personal attributes are most visible and distinguishable, thereby improving data quality while minimizing processing time.
Solution Approach 2:
The patent segments the attribute extraction process by dividing it into specialized components: the first image capturing device captures front view images for certain attributes, the second image capturing device captures top view images for other attributes, and the extraction unit processes these segmented image sets separately. This segmentation allows parallel processing and reduces overall processing time while maintaining comprehensive attribute extraction quality.
3Measurement precision
If filtering techniques are applied to differentiate overlapping individuals, then the accuracy of identifying individual entries is improved, but the complexity of the data processing increases
Solution Approach 1:
The patent extracts and utilizes specific distinguishing features from the captured images to differentiate overlapping individuals. The attribute extraction unit identifies and extracts unique personal attributes (such as stature, gender, age) from each individual in the captured images, separating their data for individual identification. This extraction approach simplifies the differentiation process by focusing on key identifying characteristics rather than analyzing entire complex image datasets.
Data Source
AI summary
A store-entering person attribute extraction apparatus includes a timing detector, an extraction unit, and an associating unit. The timing detector detects a boundary crossing timing for entering a store. The extraction unit extracts predetermined personal attributes from a captured store-entering person image acquired by capturing an image of a person entering the store. The associating unit associates the boundary crossing timing detected by the timing detector with the attributes extracted by the extraction unit.