CMOS Image Sensor Control for Moving Object Tracking
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Solution Overview
Problem
The existing image reading out control techniques for monitoring cameras become slow when simultaneously performing full pixel array skip-reading and partial region reading out, especially as the number of detected moving objects increases, leading to a decline in tracking performance.
Innovation Solution
An image reading out control apparatus and method that detects objects on captured images and adjusts the interval for extracting image regions based on the moving speed of the objects, allowing for efficient tracking by controlling the reading out frequency and region size proportionally to the object's speed, using a CMOS image sensor with skip-reading and partial reading out modes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If full pixel array skip-reading and partial region reading out are performed simultaneously, then high precision image capturing is achieved, but reading out speed becomes slow when multiple moving objects are detected
Solution Approach 1:
The patent applies local quality by differentiating reading out strategies for different regions: full pixel array reading for regions with stationary or slow-moving objects, and partial region reading for regions with fast-moving objects. This allows each region to be processed according to its specific requirements, optimizing both precision and speed.
Solution Approach 2:
The patent implements dynamics by making the reading out configuration adaptive and changeable based on detected object characteristics. The system dynamically adjusts between full pixel array reading and partial region reading according to the moving speed and characteristics of detected objects, rather than using a fixed reading out mode.
2Reliability
If partial region reading out is performed for each detected moving object, then tracking performance is improved, but reading out speed decreases as the number of detected objects increases
Solution Approach 1:
The patent applies local quality by assigning different reading out modes to different spatial regions based on object characteristics. Regions containing fast-moving objects receive partial region reading out for high-speed tracking, while regions with stationary objects use full pixel array reading for comprehensive capture, avoiding unnecessary processing overhead.
Solution Approach 2:
The patent segments the image processing task by dividing the full pixel array into multiple regions and applying different reading out strategies to each region based on detected object characteristics. This segmentation allows parallel processing of different regions with appropriate methods, improving overall efficiency.
3Productivity
If skip-reading out is used to reduce the number of reading out pixels, then reading out speed increases, but tracking performance of multiple objects deteriorates
Solution Approach 1:
The patent applies local quality by selectively applying skip-reading out only to regions containing fast-moving objects where high-speed tracking is critical, while using full pixel array reading for regions with stationary or slow-moving objects that require comprehensive detail. This localized approach maintains tracking performance where needed while maximizing speed where possible.
Data Source
AI summary
An image reading out apparatus reads out a partial image in a frame of an image within an image sensing unit, and outputs image data corresponding to the frame of the image and the partial image to an image development processing unit. A detection unit detects an object in a frame of a first image read out from the image sensing unit, and detects a moving speed of the object. A control unit (i) determines an area corresponding to the object, and (ii) controls, in accordance with the moving speed of the object detected by the detection unit, an interval of time to read out the partial image in the area in a frame of a second image within the image sensing unit. A reading unit reads out the frame of the first image and the partial image within the image sensing unit.