Object Tracking Apparatus Dynamic Event Threshold Adjustment
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Solution Overview
Problem
Imaging apparatuses with object tracking functions face challenges in severe exposure conditions, such as rapid brightness changes and low contrast scenes, leading to potential loss of object tracking due to high processing load and power consumption when the event detection apparatus is frequently operated.
Innovation Solution
An object tracking apparatus that dynamically adjusts the event detection conditions of the event detection apparatus based on the imaging state of the imaging apparatus, including changing the event detection threshold and setting the event detection region according to the contrast, brightness, and moving speed of the object, to optimize event detection and reduce system load.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the event detection apparatus is frequently operated to maintain object tracking under severe exposure conditions, then the reliability of object tracking is improved, but the power consumption and processing load of the system increases
Solution Approach 1:
The patent dynamically adjusts the event detection threshold based on the imaging state (exposure conditions, contrast, brightness) to optimize the balance between tracking reliability and power consumption. The threshold is not fixed but adapts in real-time to environmental conditions, allowing the system to maintain reliable tracking only when necessary rather than operating at full capacity continuously.
Solution Approach 2:
The system changes the detection parameter (event detection threshold) according to the imaging state. When exposure conditions are severe or contrast is low, the threshold is adjusted to maintain tracking reliability. This parameter adaptation allows the system to respond to changing conditions without maintaining high power consumption during favorable conditions.
2Measurement precision
If the event detection threshold is lowered to detect events under low contrast conditions, then the detection precision is improved, but the processing load increases due to more events being detected
Solution Approach 1:
The patent applies different event detection thresholds to different regions of the image based on local imaging conditions. The detection threshold is adjusted according to the contrast and brightness characteristics of specific regions, allowing high detection precision in challenging areas while maintaining lower thresholds only where necessary, thus reducing overall processing load.
Solution Approach 2:
The system dynamically changes the event detection threshold parameter based on the measured contrast and brightness of the imaging scene. When contrast is low, the threshold is lowered to improve detection precision. When contrast is sufficient, the threshold is raised to reduce the number of detected events and associated processing load.
3Speed
If the event detection apparatus operates continuously to track high-speed moving objects, then the tracking speed is improved, but the power consumption increases
Solution Approach 1:
The system uses periodic frame-based imaging to update the detection threshold and event detection parameters rather than continuous operation. The event detection apparatus operates in intervals synchronized with the frame rate, allowing the system to maintain tracking capability for moving objects while reducing power consumption by not operating continuously at full speed.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This solution enables continuous object tracking under severe exposure conditions while minimizing the processing load and power consumption of the imaging system, by dynamically adjusting event detection conditions based on real-time imaging and object characteristics.
Implementation Method 1
an asynchronous sensor that detects a change in brightness of each pixel as an event
Implementation Method 2
the pixel of the event-based sensor logarithmically converts the luminance of incident light into a voltage
Data Source
AI summary
An imaging system 10 includes an event detection apparatus 11 and an imaging apparatus 12. The event detection apparatus 11 detects, as an event, that a change in luminance of a pixel performing photoelectric conversion of incident light exceeds a predetermined threshold. The imaging apparatus 12 images an object at a fixed frame rate. A system control unit 13 controls the event detection apparatus 11 and the imaging apparatus 12. An event detection control unit 14 performs control for setting event detection conditions of the event detection apparatus 11 based on the imaging state of the imaging apparatus 12. A data processing unit 15 generates image data from each output signal of the event detection apparatus 11 and the imaging apparatus 12. The tracking control unit 16 performs detection and tracking control of the object by using the image data generated by the data processing unit 15.