Combining complementary trackers for enhanced long-term visual object tracking

Article Robotics

Weakly-Supervised Domain Adaptation of Deep Regression Trackers via Reinforced Knowledge Distillation

Matteo Dunnhofer et al.

Summary: The study introduces a new approach to enhance the accuracy of deep regression trackers and apply them to various robotic vision domains. By utilizing weakly-supervised adaptation strategy and knowledge distillation, real-time speed and high accuracy tracking performance are achieved on embedded devices.

IEEE ROBOTICS AND AUTOMATION LETTERS (2021)

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Article Computer Science, Artificial Intelligence

Siamese networks with distractor-reduction method for long-term visual object tracking

Shiyu Xuan et al.

Summary: This paper proposes improvements for two-stage tracking algorithms, including hard negative mining and Siamese network architecture design. Experimental results demonstrate that the proposed approach significantly outperforms state-of-the-art methods, showing substantial relative gains in benchmark datasets.

PATTERN RECOGNITION (2021)

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Article Computer Science, Artificial Intelligence

Online-adaptive classification and regression network with sample-efficient meta learning for long-term tracking

Lang Yu et al.

Summary: LT-CAR is a long-term tracking framework that utilizes sample-efficient meta learning to optimize both classification and regression models online, achieving comparable performance to state-of-the-art long-term algorithms by introducing ridge regression, GRU module, spatial-temporal verification network, and query-guided detector.

IMAGE AND VISION COMPUTING (2021)

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Article Computer Science, Artificial Intelligence

DA-SACOT: Domain adaptive-segmentation guided attention for correlation based object tracking

Priya Mariam Raju et al.

Summary: This study introduces an approach that incorporates instance segmentation into object tracking framework, achieving more accurate target tracking through region proposal module and target localization module. Experimental evaluations on multiple benchmark datasets demonstrate a significant improvement in precision, AUC score, and overlap score compared to recent competing trackers.

IMAGE AND VISION COMPUTING (2021)

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Article Computer Science, Artificial Intelligence