Research on pedestrian detection based on neuromorphic vision sensor

Yiran Hu

doi:10.1117/12.2636383

6 May 2022 Research on pedestrian detection based on neuromorphic vision sensor

Yiran Hu

Proceedings Volume 12176, International Conference on Algorithms, Microchips and Network Applications; 121762F (2022) https://doi.org/10.1117/12.2636383
Event: International Conference on Algorithms, Microchips, and Network Applications 2022, 2022, Zhuhai, China

Abstract

Neuromorphic vision sensor is a new type of visual sensor inspired by biology, which can process image information by imitating the operation of biological retina. It is different from the traditional camera that captures the image frame at a fixed rate, but asynchronously outputs the event flow related to brightness change information, with the characteristics of low delay, high time resolution and high dynamic range. Pedestrian detection based on neuromorphic vision sensor is one of the research directions in the field of computer vision, which can be applied to automatic driving, video surveillance and other fields. This paper introduces the principle of neuromorphic vision sensor, and introduces the pedestrian detection method based on the sensor, analyzes the existing detection methods and related data sets, and finally prospects the development trend of this direction.

Citation Download Citation

Yiran Hu "Research on pedestrian detection based on neuromorphic vision sensor", Proc. SPIE 12176, International Conference on Algorithms, Microchips and Network Applications, 121762F (6 May 2022); https://doi.org/10.1117/12.2636383

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KEYWORDS

Sensors

Visualization

Signal processing

Visual process modeling

Cameras

Detection and tracking algorithms

Neural networks

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