CMINet: an improved RGBT tracking via cross-modality interaction

Weidai Xia; Dongming Zhou; Yanyu Liu; Yujie Xue

doi:10.1117/12.2627817

11 March 2022 CMINet: an improved RGBT tracking via cross-modality interaction

Weidai Xia, Dongming Zhou, Yanyu Liu, Yujie Xue

Proceedings Volume 12160, International Conference on Computational Modeling, Simulation, and Data Analysis (CMSDA 2021); 1216017 (2022) https://doi.org/10.1117/12.2627817
Event: International Conference on Computational Modeling, Simulation, and Data Analysis (CMSDA 2021), 2021, Sanya, China

Abstract

Visible light and thermal infrared (RGBT) data contain different levels of information about the target, and how to use them effectively plays a crucial role in the representation of the target appearance in RGBT tracking. Existing work has focused on the integration of information from modality-shared features and modality-specific features. These approaches effectively deploy modality-shared cues and modality-specific attributes, ignoring the potential value of multi-layer shared cues of different modalities. To this end, a new multi-feature extraction-based infrared and visible target tracking algorithm is proposed. The tracking algorithm consists of a multi-layer shared fusion network, modal complementary network and target regression network that performs multi-layer modality-sharing, modality-specific and target probability prediction feature learning. Extensive experiments are conducted on the RGBT tracking benchmark dataset to achieve real-time tracking in terms of tracking speed and also show superior performance in comparison with other advanced RGB and RGBT tracking algorithms.

Citation Download Citation

Weidai Xia, Dongming Zhou, Yanyu Liu, and Yujie Xue "CMINet: an improved RGBT tracking via cross-modality interaction", Proc. SPIE 12160, International Conference on Computational Modeling, Simulation, and Data Analysis (CMSDA 2021), 1216017 (11 March 2022); https://doi.org/10.1117/12.2627817

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KEYWORDS

Detection and tracking algorithms

RGB color model

Feature extraction

Thermography

Optical tracking

Video

Convolution

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