@inproceedings{afc0ea977cff4171afefcf636023e449,
title = "A Novel Frame-Event Fusion Framework for High-Frequency Tracking",
abstract = "Due to the characteristics of low latency, high dynamic range and high time resolution, event cameras could be used as a powerful supplement to conventional cameras. In recent years, though object tracking algorithms based on frame-event fusion have made great progress in terms of accuracy, most of them couldn{\textquoteright}t deal with the huge frequency gap between these two modalities in an ideal way, failing to take advantage of the high-speed nature of the event camera. In this paper, we propose a novel framework for real-time online tracking, which utilizes two networks with different inference speeds and estimates the target state with both of them, realizing high-frequency tracking while maintaining high accuracy.",
keywords = "Frame-event fusion, High frequency, Object tracking",
author = "Heyi Quan and Qingdong Li and Jianglong Yu and Xiwang Dong",
note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.; International Conference on Guidance, Navigation and Control, ICGNC 2024 ; Conference date: 09-08-2024 Through 11-08-2024",
year = "2025",
doi = "10.1007/978-981-96-2204-7\_24",
language = "英语",
isbn = "9789819622030",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "247--256",
editor = "Liang Yan and Haibin Duan and Yimin Deng",
booktitle = "Advances in Guidance, Navigation and Control - Proceedings of 2024 International Conference on Guidance, Navigation and Control Volume 2",
address = "德国",
}