Paper
10 August 2023 Tracking moving targets of interest-based deep learning
Caoxi Shangguan, Zhenxuan Gong, Ruqi Chen, Li Jun
Author Affiliations +
Proceedings Volume 12748, 5th International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2023); 1274803 (2023) https://doi.org/10.1117/12.2689864
Event: 5th International Conference on Information Science, Electrical and Automation Engineering (ISEAE 2023), 2023, Wuhan, China
Abstract
Tracking specific target is an important research area in machine vision. When tracking specific target encounters the same local features with light and dark variations, convolutional neural networks based on deep learning require large data sets to extract target feature information. To address these problems, this paper proposes a target of interest tracking scheme based on specific object imaging. The method allows for fast capture and processing of important information about the target of interest. In addition, small data sets are used to track the target and extract the target of interest efficiently. The target of interest can also be accurately tracked when the background and light changes. The results show that our method reduces the processing of redundant information, reduces the storage overhead, and tracks the target accurately.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Caoxi Shangguan, Zhenxuan Gong, Ruqi Chen, and Li Jun "Tracking moving targets of interest-based deep learning", Proc. SPIE 12748, 5th International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2023), 1274803 (10 August 2023); https://doi.org/10.1117/12.2689864
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KEYWORDS
Education and training

Deep learning

Feature extraction

Image processing

Data modeling

Data processing

Image compression

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