Identity Recognition via Target Feature Mediation
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Solution Overview
Problem
Existing image processing methods for human identity recognition in video surveillance face accuracy issues when the facial region is unclear or obscured, leading to inaccurate identity determination.
Innovation Solution
A method that extracts a target feature from an image and searches for a corresponding facial information item based on a pre-established correspondence between target features and facial information items, allowing for identity determination without the need to extract facial features from the image, even if the facial region is unclear or obscured.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If facial feature extraction is used for identity recognition, then the method is simple and direct, but the recognition accuracy deteriorates when the facial region is unclear or obscured
Solution Approach 1:
The patent introduces target features (such as clothing, accessories, or body characteristics) as an intermediary element between the image and identity recognition. Instead of directly relying on facial features, the system extracts target features from the image, searches for corresponding facial information items using these target features as mediators, and then determines identity. This intermediary approach allows recognition to proceed even when facial regions are obscured or unclear.
Solution Approach 2:
The patent performs preliminary extraction of target features from the image before attempting facial feature extraction. By first identifying target features (such as clothing patterns, accessories, or distinctive body characteristics), the system prepares alternative recognition pathways in advance. This preliminary action ensures that if facial features are unavailable or unclear, the system already has target feature data to facilitate identity recognition through other means.
2Ease of operation
If facial feature extraction is required, then the recognition process is straightforward, but the system becomes vulnerable to obscured or unclear facial regions
Solution Approach 1:
The patent changes the recognition parameter from facial features alone to a combination of target features and facial information items. By shifting the primary extraction parameter from facial region characteristics to target object characteristics (such as clothing, accessories, or body features), the system maintains operational straightforwardness while improving reliability. The search module uses these changed parameters (target features) to query the database, enabling robust recognition even when traditional facial parameters are compromised.
3Productivity
If direct facial feature matching is used, then the processing is efficient, but the identification accuracy deteriorates when facial regions are not well-defined
Solution Approach 1:
The patent segments the identity recognition process into two independent stages: target feature extraction and facial information item search. Instead of performing direct facial feature matching in a single step, the system first extracts target features (such as clothing characteristics or accessories) and then uses these segmented features to search for corresponding facial information items in the database. This segmentation allows efficient processing of target features while improving identification accuracy by providing an alternative pathway when facial regions are not well-defined.
Data Source
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AI summary
The embodiments of the present application provide a method and apparatus for recognizing an identity of a human target. The method includes: obtaining a to-be-recognized image; extracting a target feature of a to-be-recognized human target in the to-be-recognized image as a to-be-searched target feature; searching for a facial information item corresponding to the to-be-searched target feature based on a pre-established correspondence between target features and facial information items; and determining an identity of the to-be-recognized human target based on the found facial information item. It can be seen that, in this solution, there is no need to extract the facial features in the image, and even if the facial region is not clear or is shaded by other objects in the image, the accuracy of identity recognition is reduced. Therefore, accuracy of identity recognition is improved.