Pixel-Based Motion Detection Using Brightness Deviation Analysis
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Solution Overview
Problem
Existing motion detection algorithms struggle to accurately detect moving objects, especially under noisy and low illumination conditions, often misidentifying background movements as foreground and losing object regions where objects overlap, leading to poor detection accuracy.
Innovation Solution
A motion detecting apparatus and method that calculates the average brightness of pixels in an input image, determines pixels as background, garbage, or moving objects based on preset reference values, and updates these determinations over time to distinguish consistently moving objects from static backgrounds, effectively treating noise as garbage and ensuring accurate detection by analyzing pixel variations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If motion detection is performed using differential image between current frame and established frame, then moving objects can be detected, but object regions are lost where objects overlap with each other in current frame and established frame, resulting in detected object area smaller than actual object area
Solution Approach 1:
The patent divides the image into multiple blocks (e.g., 16x16 pixel blocks) and processes each block independently to determine whether it contains a moving object. This segmentation approach allows the system to detect objects in different regions without losing overlap information, as each block's motion status is evaluated separately and then combined to form the complete object detection result.
2Measurement precision
If existing motion detection algorithms are used, then object detection can be performed, but background motions such as varying shadow and shaking tree branches are frequently detected as foreground, resulting in poor accuracy under low illumination circumstances
Solution Approach 1:
The patent changes the detection parameter from frame-based differential image to pixel-based brightness deviation. By calculating the absolute value of deviation between current pixel brightness and average brightness, and comparing it with a preset reference value, the system can distinguish true object motion from background noise more effectively, reducing false detections of shadows and tree branches.
3Measurement precision
If pixel-based motion detection is performed by comparing brightness deviation with reference value, then moving objects can be accurately detected, but detection reliability decreases when objects remain stationary for extended periods
Solution Approach 1:
The patent implements a dynamic detection mechanism where blocks are initially marked as potential objects when their brightness deviation exceeds the reference value. The system then monitors these blocks over multiple frames, and only confirms them as true objects if they persist for a predetermined period. This dynamic approach filters out transient noise while maintaining sensitivity to genuine objects, even those that become stationary.
Data Source
AI summary
The present invention relates to a motion detecting apparatus and method which is capable of correctly detecting a moving object by determining a motion variation on a pixel basis through comparison between frames. The motion detecting apparatus can correctly detect a region of a moving object by determining whether pixels of the input image correspond to an object, garbage or background on a pixel-basis and can prevent a detected object from missing from an overlapping region occurring in object detection through the existing frame-based comparison, which can result in high accuracy of detection of the moving object.