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Cross-Modal Ranking with Soft Consistency and Noisy Labels for Robust RGB-T Tracking
[chapter]
2018
Lecture Notes in Computer Science
Due to the complementary benefits of visible (RGB) and thermal infrared (T) data, RGB-T object tracking attracts more and more attention recently for boosting the performance under adverse illumination conditions. Existing RGB-T tracking methods usually localize a target object with a bounding box, in which the trackers or detectors is often affected by the inclusion of background clutter. To address this problem, this paper presents a novel approach to suppress background effects for RGB-T
doi:10.1007/978-3-030-01261-8_49
fatcat:fccrpevqbzcc3di2btafnvxyxy