Brightness-Adjusted Motion Detection Using Gain and Pixel Data
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Solution Overview
Problem
Conventional motion detection systems often produce false positives due to abrupt changes in lighting, analog or digital gain adjustments, and other factors, leading to inaccurate detection.
Innovation Solution
A picture brightness adjusted motion detection system that remaps image data using a brightness change factor calculated from gain information and average pixel values, allowing for accurate motion detection by scaling or offsetting picture data, and utilizing lookup tables for improved performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional motion detection is performed without brightness adjustment, then the detection process is simple and fast, but false positives occur due to lighting changes and gain adjustments
Solution Approach 1:
The patent applies preliminary action by calculating the brightness change factor between reference and target pictures before performing motion detection. This pre-processing step adjusts for lighting changes and gain adjustments in advance, so that the subsequent motion detection operates on brightness-compensated data, eliminating false positives while maintaining a relatively simple processing pipeline.
Solution Approach 2:
The patent changes the brightness parameter of the picture data by applying a brightness change factor derived from gain information and average pixel values. This parameter transformation normalizes brightness variations caused by lighting changes and gain adjustments, enabling accurate motion detection without requiring complex multi-factor analysis during the detection phase.
2Reliability
If brightness adjustment is applied before motion detection, then false positives are reduced, but additional processing steps are required
Solution Approach 1:
The brightness adjustment is performed as a preliminary step before motion detection, calculating the brightness change factor once per picture pair. This approach eliminates the need for repeated brightness analysis during motion detection, reducing overall processing time while maintaining high detection accuracy.
Solution Approach 2:
The patent creates a brightness-adjusted copy of the target picture by applying the brightness change factor to the original picture data. This copied, pre-adjusted data is then used for motion detection, separating the brightness compensation function from the motion detection logic and enabling parallel or sequential processing without significant time penalty.
3Reliability
If gain information is used to calculate brightness change factor, then compensation for gain adjustments is achieved, but dependency on accurate gain data increases
Solution Approach 1:
The brightness change factor calculation incorporates multiple data sources (gain information, average pixel values, and potentially other metrics) into a single universal compensation factor. This multi-functional approach allows the system to compensate for various types of brightness changes (lighting, gain adjustments, sensor variations) using a unified method, reducing the need for separate detection mechanisms for each factor.
Solution Approach 2:
The patent uses average pixel values from the reference and target pictures as feedback to calculate the brightness change factor. This feedback mechanism automatically adapts to actual brightness variations in the captured images, compensating for gain adjustments and lighting changes without requiring external sensors or complex analysis of the underlying causes.
Data Source
AI summary
An apparatus includes an input circuit and a processing circuit. The input circuit may be configured to receive a sequence of pictures. The processing circuit may be configured to (i) generate a change factor based on gain information for a reference picture selected from the sequence of pictures, gain information for a target picture selected from the sequence of pictures, an average pixel value for the reference picture, and an average pixel value for the target picture, (ii) remap data of a selected one of the reference picture and the target picture by calculating pixel values for the selected picture using original pixel values of the selected picture and the change factor, and (iii) perform motion detection between the reference picture and the target picture utilizing (a) the remapped image data of the selected picture and (b) original data of the picture that was not remapped.