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Shaoze You, Hua Zhu, Menggang Li, Yutan Li and Chaoquan Tang
In recent years, discriminative correlation filters (DCF) based trackers have been widely used in mobile robots due to their efficiency. However, underground coal mines are typically a low illumination environment, and tracking in this environment is a c...
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Valery Bobkov, Antonina Shupikova and Alexander Inzartsev
The inspection of condition of underwater pipelines (UPs) based on autonomous underwater vehicles (AUVs) requires high accuracy of positioning while the AUV is moving along to the object being examined. Currently, acoustic, magnetometric, and visual mean...
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Junyi Yang, Yutong Yao and Donghe Yang
Due to the complexity of the underwater environment, tracking underwater targets via traditional particle filters is a challenging task. To resolve the problem that the tracking accuracy of a traditional particle filter is low due to the sample impoveris...
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Abeer Abdulaziz AlArfaj and Hanan Ahmed Hosni Mahmoud
Moving object tracking techniques using machine and deep learning require large datasets for neural model training. New strategies need to be invented that utilize smaller data training sizes to realize the impact of large-sized datasets. However, curren...
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Qianqian Chen, Changshi Xiao, Yuanqiao Wen, Mengwei Tao and Wenqiang Zhan
Due to the high error frequency of the existing methods in identifying a ship?s navigational intention, accidents frequently occur at intersections. Therefore, it is urgent to improve the ability to perceive ship intention at intersections. In this paper...
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Shanshan Luo, Baoqing Li, Xiaobing Yuan and Huawei Liu
The Discriminative Correlation Filter (DCF) has been universally recognized in visual object tracking, thanks to its excellent accuracy and high speed. Nevertheless, these DCF-based trackers perform poorly in long-term tracking. The reasons include the f...
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Xinxin Zhen, Shumin Fei, Yinmin Wang and Wei Du
Visual object tracking is an important research topic in the field of computer vision. Tracking?learning?detection (TLD) decomposes the tracking problem into three modules?tracking, learning, and detection?which provides effective ideas for solving the t...
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Wenbin Wang, Chao Liu, Bo Xu, Long Li, Wei Chen and Yingzhong Tian
Visual object trackers based on correlation filters have recently demonstrated substantial robustness to challenging conditions with variations in illumination and motion blur. Nonetheless, the models depend strongly on the spatial layout and are highly ...
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Oscar E. Perez-Cham, Cesar Puente, Carlos Soubervielle-Montalvo, Gustavo Olague, Carlos A. Aguirre-Salado and Alberto S. Nuñez-Varela
Object tracking refers to the relocation of specific objects in consecutive frames of a video sequence. Presently, this visual task is still considered an open research issue, and the computer science community attempted solutions from the standpoint of ...
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Alan López-Martínez and Francisco Javier Cuevas
In computer vision, estimating geometric relations between two different views of the same scene has great importance due to its applications in 3D reconstruction, object recognition and digitization, image registration, pose retrieval, visual tracking a...
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