Vehicle Image Processing Attention Area Adjustment
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Solution Overview
Problem
Existing image processing methods for detecting objects in vehicles, such as automobiles, face challenges in setting an appropriate attention area for image correction processing, leading to suboptimal results due to the inclusion of non-object areas and the need for precise positioning of attention areas for accurate object detection.
Innovation Solution
An image processing apparatus that includes a speed detecting section, an attention area setting section, and an image correction processing section, which sets an attention area based on detected moving speed, vanishing points, travel direction, and steering angles to perform image correction processing, such as white balance processing, on the basis of pixel values within this area.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If image correction processing is performed on the basis of pixel values of all pixels of the image, then the processing covers the entire image area, but the correction result becomes inappropriate for detecting the object because non-object areas are included
Solution Approach 1:
The image processing area is segmented into an attention area and a non-attention area. The attention area is specifically set to include only pixels relevant to object detection (excluding sky, road surface, and non-object regions), while the non-attention area is excluded from correction processing. This segmentation allows correction to be applied only where needed, improving object detection accuracy without processing the entire image.
Solution Approach 2:
Different quality levels of image correction are applied to different regions of the image. The attention area receives full image correction processing (white balance, gamma correction, etc.), while the non-attention area receives no correction or minimal processing. This local quality approach ensures that resources are focused on the critical region for object detection while reducing unnecessary processing elsewhere.
2Measurement precision
If image correction processing is performed on the basis of a pixel value of a pixel belonging to a predetermined area (attention area), then the correction can be appropriate for object detection, but the position of the attention area must be appropriately set to achieve accurate results
Solution Approach 1:
The attention area is determined in advance through preliminary analysis of the image characteristics, vehicle state, and environmental conditions. By pre-defining the attention area based on predicted object locations and detection requirements, the system avoids the need for complex real-time adjustment mechanisms, thereby reducing device complexity while maintaining high object detection accuracy.
Solution Approach 2:
The system uses feedback from object detection results, vehicle state sensors, and environmental sensors to dynamically adjust the attention area position and size. This feedback mechanism allows the attention area to be automatically repositioned based on actual detection needs, reducing the complexity of manual configuration while maintaining high precision in object detection across varying conditions.
Data Source
AI summary
The present technology relates to an image processing apparatus and an image processing method that can appropriately set an attention area in an image on which image correction processing is performed. An image processing apparatus according to an aspect of the present technology includes a speed detecting section that detects a moving speed of the mobile body; an attention area setting section that sets an attention area to an image imaged in an advancing direction of the mobile body on the basis of the moving speed detected; and an image correction processing section that performs the predetermined image correction processing on the image on the basis of a pixel value of a pixel belonging to the attention area on the image. The present technology is applicable to, for example, a vehicle-mounted sensor.