Papers › Object Tracking by Jointly Exploiting Frame and Event Domain

Object Tracking by Jointly Exploiting Frame and Event Domain

19 Sep 2021ICCV 2021 10arXiv:2109.09052archive 2025-07-28

Jiqing Zhang, Xin Yang, Yingkai Fu, Xiaopeng Wei, BaoCai Yin, Bo Dong

Inspired by the complementarity between conventional frame-based and bio-inspired event-based cameras, we propose a multi-modal based approach to fuse visual cues from the frame- and event-domain to enhance the single object tracking performance, especially in degraded conditions (e.g., scenes with high dynamic range, low light, and fast-motion objects). The proposed approach can effectively and adaptively combine meaningful information from both domains. Our approach's effectiveness is enforced by a novel designed cross-domain attention schemes, which can effectively enhance features based on self- and cross-domain attention schemes; The adaptiveness is guarded by a specially designed weighting scheme, which can adaptively balance the contribution of the two domains. To exploit event-based visual cues in single-object tracking, we construct a large-scale frame-event-based dataset, which we subsequently employ to train a novel frame-event fusion based model. Extensive experiments show that the proposed approach outperforms state-of-the-art frame-based tracking methods by at least 10.4% and 11.9% in terms of representative success rate and precision rate, respectively. Besides, the effectiveness of each key component of our approach is evidenced by our thorough ablation study.

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Tasks

ObjectObject Tracking

Datasets

Introduced by this paper, per the archive.

FE108

Results from the paper archive 2025-07-28

TaskDatasetModelMetricValueRank at snapshotLeaderboardReport
Object Tracking FE108 Multi-modal Averaged Precision 92.4 #3 of 8 Archive leaderboard report
Object Tracking FE108 Multi-modal Success Rate 63.4 #3 of 8 Archive leaderboard report

Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.

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