ASUMOT: Motion-Consistency-Based Asynchronous UAV Detection and Tracking with Event Cameras

• URL: http://arxiv.org/abs/2607.11303v1
• Date: Mon, 13 Jul 2026 09:19:41 GMT
• Title: ASUMOT: Motion-Consistency-Based Asynchronous UAV Detection and Tracking with Event Cameras
• Abstract summary: ASUMOT is a motion-consistency-based asynchronous UAV detection and tracking framework.<n> ES-UAV is a high-definition event-level UAV benchmark with dense semantic annotations.
• Score: 19.909043024134395
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Event cameras offer microsecond-level temporal resolution and high dynamic range for low-altitude UAV perception. However, long-range UAVs often produce sparse, fragmented, and noise-contaminated event responses, where one semantic target may appear as multiple spatially separated blobs. Direct blob-level asynchronous tracking therefore suffers from duplicate trajectories and unstable identities. We propose ASUMOT, a motion-consistency-based asynchronous UAV detection and tracking framework operating directly on raw events. ASUMOT models each UAV as a set of motion-consistent event blobs. A local motion-consistency estimator triggers reliable candidates, a lightweight multi-task verifier provides UAV confidence and motion-direction cues, and motion-consistency clustering aggregates fragmented blobs into identity-consistent UAV tracks. We also introduce ES-UAV, a high-definition event-level UAV benchmark with dense semantic annotations. Experiments on public UAV tracking data and ES-UAV show that ASUMOT improves the accuracy--efficiency trade-off while preserving asynchronous event processing. Code and Dataset will be released.

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