Subject Detection Accuracy Across Varying Capture Angles
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Solution Overview
Problem
Conventional subject detection technologies based on image features face reduced accuracy when the capturing angle is large due to the scarcity of training data, making it difficult to detect subjects in regions with high capturing angles effectively.
Innovation Solution
A system that divides a captured image into regions where subject detection is performed using image features and regions where detection is based on alternative factors, allowing for simultaneous subject detection and correction of detection accuracy by switching between methods based on capturing angle and previous frame analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If image feature-based detection is used for large capturing angles, then detection coverage is improved, but detection accuracy deteriorates due to scarcity of training data
Solution Approach 1:
The patent segments the captured image into multiple regions based on capturing angle characteristics. A first region (small capturing angle) uses image feature-based detection, while a second region (large capturing angle) uses moving object detection. This segmentation allows each region to use the most appropriate detection method, maintaining high accuracy while covering the entire image area.
Solution Approach 2:
The patent dynamically switches between different detection methods based on the capturing angle of each region. The system adjusts the detection approach in real-time according to the regional characteristics, using image feature detection for small angles and moving object detection for large angles, thereby optimizing detection accuracy across varying conditions.
2Measurement precision
If image feature-based detection is used for small capturing angles, then detection accuracy is improved, but detection capability is lost in regions with large capturing angles
Solution Approach 1:
The patent implements a multi-functional detection system that can perform both image feature-based detection and moving object detection. The system universally applies both methods across different regions, selecting the appropriate one based on capturing angle characteristics. This multi-functionality ensures high detection accuracy is maintained while adapting to various capturing angle scenarios.
Solution Approach 2:
The patent changes the detection parameter (detection method) based on the capturing angle parameter. For small capturing angles, image feature detection is applied; for large capturing angles, moving object detection is applied. This parameter change allows the system to maintain optimal detection accuracy across different regional conditions.
3Device complexity
If a single detection method is used for the entire image, then system complexity is reduced, but detection accuracy varies significantly across different regions
Solution Approach 1:
The patent segments the image into regions with different capturing angle characteristics and applies different detection methods to each segment. This segmentation strategy maintains relatively simple system architecture while significantly improving regional detection accuracy by matching detection methods to regional characteristics.
Data Source
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AI summary
An information processing device according to one embodiment of the present invention includes: an acquisition unit that acquires a captured image; and an output unit that outputs a detection result of a subject detection process based on an image feature, which is for a region where subject detection based on an image feature of the captured image is performed, and a detection result of a subject detection process based on a factor other than an image feature, which is for a region other than the region where the subject detection based on the image feature of the captured image is performed.