Motion Detection Device Using Edge-Mediated Frame Difference Correction
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Solution Overview
Problem
Existing motion detection methods in video signal processing often misclassify still parts as moving or vice versa, leading to picture quality degradation issues like flicker, blur, and combing, especially in the presence of noise or slowly moving objects with repetitive patterns.
Innovation Solution
A motion detection device and method that utilizes a pattern matching detector, edge detector, and frame difference detector to accurately determine motion by calculating pattern similarity and edge presence, and then corrects motion information to improve detection accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If frame-to-frame difference is used for motion detection, then motion detection can be performed, but detection errors occur where still parts are misclassified as moving or moving parts as still
Solution Approach 1:
The patent introduces an edge detection result as an intermediary to mediate between the frame difference signal and motion detection. The edge detection identifies actual object boundaries, and this information is used to correct the frame difference-based motion detection, preventing misclassification of still parts as moving or moving parts as still.
Solution Approach 2:
The patent implements a feedback mechanism where the edge detection result is fed back to correct the motion detection output. The edge information serves as feedback to adjust and refine the motion detection, improving accuracy by comparing detected motion with actual edge positions.
2Ease of operation
If vertical band-limiting low-pass filter is applied to frame difference signal, then motion adaptive signal processing can be performed, but still parts may be misrecognized as moving due to noise
Solution Approach 1:
The edge detection result acts as an intermediary that verifies motion detection outcomes. Even when filtering is applied to enable motion adaptive processing, the edge information serves as a reference to confirm whether detected motion is real or caused by noise, preventing misclassification of still parts.
Solution Approach 2:
The patent performs edge detection as a preliminary action before final motion determination. By detecting edges first and using this information to guide or correct subsequent motion detection from filtered frame differences, the system can distinguish between real motion and noise-induced artifacts.
3Productivity
If motion detection is performed from frame differences, then motion signal can be obtained, but slowly moving objects or objects with repetitive patterns fail to be detected
Solution Approach 1:
The edge detection result serves as an intermediary that provides additional motion cues independent of frame difference magnitude. For slowly moving objects or objects with repetitive patterns where frame differences are minimal, the edge detection still identifies object boundaries and motion, ensuring these cases are not missed.
Solution Approach 2:
The patent adds another dimension to motion detection by incorporating edge detection results alongside frame difference analysis. This multi-dimensional approach allows the system to detect motion in cases where traditional frame difference methods fail, such as slow motion or repetitive patterns, by leveraging edge position changes as an additional detection dimension.
Data Source
AI summary
In a motion detection device that detects motion from two frames of a video signal, a pattern matching detector determines pattern similarity between pixel blocks centered on a pixel of interest in the two frames to detect pattern motion. An edge detector detects edge presence and direction in a vicinity of the pixel of interest. A frame difference detector generates a smoothed frame difference signal for the pixel of interest. The smoothing is carried out within appropriate extents selected according to the detected pattern motion and edge direction. A motion information corrector generates motion information for the pixel of interest from the frame difference signal. Appropriate selection of the smoothing extent reduces motion detection mistakes. The motion information is useful in motion adaptive video signal processing.