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Experimental Comparison between Event and Global Shutter Cameras.
Ondřej Holešovský1, Radoslav Škoviera1, Václav Hlaváč1
1Czech Institute of Informatics, Robotics and Cybernetics, Czech Technical University in Prague, Jugoslávských Partyzánů 1580/3, 160 00 Prague, Czech Republic.
Event cameras offer superior bandwidth efficiency over fast frame cameras in computer vision tasks. However, pixel latency and sensor bandwidth currently limit their performance in specific applications like object recognition.
Area of Science:
- Computer Vision
- Robotics
- Sensor Technology
Background:
- Event cameras offer asynchronous, low-latency data streams, contrasting with traditional frame-based cameras.
- Determining the specific application domains where event cameras outperform fast frame cameras remains an open research question.
Purpose of the Study:
- To experimentally identify application domains where event cameras surpass fast global shutter frame cameras.
- To quantify the performance differences between event and frame cameras under varying conditions.
Main Methods:
- Comparative analysis using controlled experiments (rotating disk) and a practical ballistic experiment (flying bullet).
- Evaluation metrics included sampling/detection rates, position estimation error, illuminance, and motion speed.
- Measurement of minimum pixel latency for commercial event cameras (ATIS, DVS240).
Main Results:
- Event cameras demonstrated superior bandwidth efficiency across all tested scenarios.
- Position estimation accuracy was comparable between event and frame cameras.
- Event cameras exhibited slower responses to positive contrast changes and were limited by pixel latency and sensor bandwidth in specific tasks.
Conclusions:
- Event cameras excel in bandwidth efficiency but face limitations in pixel latency and sensor bandwidth for certain applications.
- Future event camera generations may overcome current bandwidth constraints, expanding their application scope.
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