Inceptive Event Time-Surfaces for Object Classification Using Neuromorphic Cameras

R Wes Baldwin; Mohammed Almatrafi; Jason R Kaufman; Vijayan Asari; Keigo Hirakawa

doi:10.1007/978-3-030-27272-2_35

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arXiv · 2002.11656

Inceptive Event Time-Surfaces for Object Classification Using Neuromorphic Cameras

R Wes Baldwin·Mohammed Almatrafi·Jason R Kaufman·Vijayan Asari·Keigo Hirakawa

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Abstract

This paper presents a novel fusion of low-level approaches for dimensionality reduction into an effective approach for high-level objects in neuromorphic camera data called Inceptive Event Time-Surfaces (IETS). IETSs overcome several limitations of conventional time-surfaces by increasing robustness to noise, promoting spatial consistency, and improving the temporal localization of (moving) edges. Combining IETS with transfer learning improves state-of-the-art performance on the challenging problem of object classification utilizing event camera data.

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R Wes Baldwin, Mohammed Almatrafi, Jason R Kaufman, Vijayan Asari, Keigo Hirakawa. 2020-02-26. Inceptive Event Time-Surfaces for Object Classification Using Neuromorphic Cameras. https://doi.org/10.1007/978-3-030-27272-2_35

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