Image Processing Apparatus for Person Retrieval Accuracy
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Solution Overview
Problem
Current image processing techniques for person retrieval from multiple cameras face challenges in accurately adjusting for varying photographing conditions, leading to errors in collation scores and requiring extensive manual input of correct answer information, which is time-consuming and labor-intensive.
Innovation Solution
An image processing apparatus with a detecting unit, extracting unit, similarity calculating unit, and adjusting unit that automatically detects objects, extracts feature amounts, calculates similarity, and adjusts the collation method based on these features to reduce the impact of photographing conditions, thereby improving the accuracy and efficiency of person retrieval.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the collating process is adjusted based on detected photographing conditions, then the accuracy of person retrieval is improved, but erroneous detection of photographing conditions causes errors in collation score adjustment
Solution Approach 1:
The patent introduces an intermediary approach by using images of multiple persons photographed under the same conditions as a mediator to infer and adjust for photographing conditions. Instead of directly detecting difficult-to-measure conditions like person direction and illumination, the system uses the similarity relationships among multiple persons in the same image as an intermediate indicator to adjust collation scores, thereby avoiding erroneous direct detection while still achieving accurate adjustment.
2Measurement precision
If a large amount of image data is collected for adjusting the collating process, then the adjustment becomes more accurate, but the manual input of correct answer information becomes more time-consuming and labor-intensive
Solution Approach 1:
The patent applies self-service by enabling the system to automatically adjust collation scores using images of multiple persons captured in the same photographing conditions. The system infers photographing conditions from the images themselves and performs automatic adjustment without requiring manual input of correct answer information. This eliminates the time-consuming and labor-intensive manual annotation process while still achieving accurate collating process adjustment through the automatic analysis of multiple persons in the same image.
Data Source
AI summary
An image processing apparatus comprises a detecting unit which detects an object from an input image, an extracting unit which extracts a feature amount of the object detected by the detecting unit, a similarity calculating unit which, in a case where a plurality of objects have been detected from the same input image by the detecting unit, calculates a degree of similarity of feature amounts of the plurality of objects, and an adjusting unit which adjusts a collating method of collating the plurality of objects based on respective feature amounts, on the basis of the degree of similarity calculated by the similarity calculating unit.