Stereo Monocular Camera Object State Determination
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Solution Overview
Problem
Conventional video image compression technologies, such as MPEG, face challenges in accurately distinguishing and extracting shapes of static and dynamic objects from video images captured by car-mounted cameras, especially due to the movement of vehicles, which complicates object recognition and automatic vehicle operation.
Innovation Solution
A system comprising a stereo camera and a monocular camera mounted on a moving object, utilizing stereo matching principles and moving speed data to estimate object locations over time, generates correction image data for accurate determination of static and dynamic objects by comparing expected and actual object positions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If video images are captured by car-mounted cameras and compressed using MPEG technology, then video compression is achieved, but accurate distinction and extraction of static and dynamic object shapes becomes difficult
Solution Approach 1:
The patent segments objects into static and dynamic categories by comparing their positions across multiple frames. Static objects (road, signs) remain at consistent positions while dynamic objects (other vehicles, pedestrians) change positions. This segmentation enables accurate shape extraction for both object types despite video compression
Solution Approach 2:
The system performs preliminary action by capturing multiple frames before processing and compression. By acquiring a sequence of video frames at predetermined intervals, the system establishes temporal reference points that enable subsequent distinction between static and dynamic objects, improving shape extraction accuracy
2Measurement precision
If multiple captured images are used to distinguish static and dynamic objects, then object recognition accuracy is improved, but processing complexity increases
Solution Approach 1:
The patent extracts only the essential information needed for distinction - object positions in each frame - rather than processing entire images. By focusing on position coordinates and comparing them across frames, the system achieves accurate static/dynamic object distinction while reducing processing complexity
Solution Approach 2:
The system uses a predetermined number of video frames (excessive action) to ensure accurate distinction, but only processes partial information (position coordinates) from each frame rather than analyzing complete image data, balancing accuracy with processing efficiency
Data Source
AI summary
A determination device generates, based on a first captured image captured by a first image capturing device mounted on a moving object, a shape of a subject (one of subjects) included in the first captured image. The determination device estimates the location of the shape of the subject after specific time based on the location of the shape of the subject and a moving speed. The determination device extracts the shape of the subject from a second captured image captured by a second image capturing device mounted on the moving object; compares the location of the shape of the subject extracted from the second captured image with the location of the shape of the subject estimated from the first captured image; and performs determination related to a moving state of the subject.