Stereo Camera Moving Object Detection Using Region-Specific Processing
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Solution Overview
Problem
Existing moving object recognition systems using stereo cameras face delays in detecting pedestrians crossing the road due to fluctuations in calculation results between time-series frames, leading to slower convergence of moving velocity values.
Innovation Solution
A moving object recognition apparatus employing a stereo camera with distinct image processing methods for non-overlapping and overlapping imaging regions, utilizing a first region processing part for detecting moving objects in non-overlapping areas and a second region processing part for overlapping areas, allowing earlier detection of pedestrians crossing the road.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If stereo camera image processing is used to obtain three-dimensional information and detect moving objects, then detection accuracy is improved, but detection time is increased due to calculation fluctuations between time-series frames
Solution Approach 1:
The imaging region is divided into a first region (non-overlap region) and a second region (overlap region). Different detection methods are applied to each region: the first region uses a detection method suitable for non-overlapping areas, while the second region uses a different method optimized for overlapping areas. This segmentation allows the system to process regions with different characteristics using appropriate methods, improving overall detection speed without sacrificing accuracy.
Solution Approach 2:
Different detection methods are applied to different regions based on their specific characteristics. The non-overlap region and overlap region each receive detection methods optimized for their particular properties, allowing the system to achieve high detection accuracy in each region while maintaining overall system efficiency.
2Loss of information
If conventional stereo camera processing is used, then three-dimensional information can be obtained, but the system response is delayed due to calculation convergence time
Solution Approach 1:
The processing system is segmented into different processing paths for the first region and second region. This allows parallel processing of different regions with different computational requirements, reducing overall calculation time while maintaining the ability to obtain three-dimensional information where needed.
Solution Approach 2:
The system applies detection methods selectively based on region requirements. In the non-overlap region, a simpler detection method is used that still provides sufficient information, while the overlap region receives more comprehensive processing. This partial action approach reduces overall computational load and improves response speed.
Data Source
AI summary
To provide a moving object recognition apparatus that earlier detects a moving object crossing a road, the moving object recognition apparatus includes a left imaging unit 101, a right imaging unit 102, a moving object detection unit that detects a moving object based on images imaged by the left imaging unit and the right imaging unit, wherein, suppose that non-overlap regions in which an imaging region of the left imaging unit 101 and an imaging region of the right imaging unit 102 do not overlap are first regions 203, 204 and an overlap region in which the imaging region of the left imaging unit and the imaging region of the right imaging unit overlap is a second region 205, the moving object detection unit uses different methods of detecting the moving object between the first regions and the second region.