A Dynamic Measurement System Based on Adaptive Clustering and Multi-Classifier
This technology is highly suitable for detecting and tracking multi-skeletal targets in the field of aerial refueling. The paper presents a target feature responder based on K-means clustering, used for categorizing samples and training models. It employs a decision function to optimize the localiza...
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-12-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/15/1/81 |
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| author | Bowen Shi Hongjian You Huixian Wang |
| author_facet | Bowen Shi Hongjian You Huixian Wang |
| author_sort | Bowen Shi |
| collection | DOAJ |
| description | This technology is highly suitable for detecting and tracking multi-skeletal targets in the field of aerial refueling. The paper presents a target feature responder based on K-means clustering, used for categorizing samples and training models. It employs a decision function to optimize the localization region across various classifier detection and tracking algorithms for targets. Additionally, a state judgment module scores the classifiers based on target state and depth information, which allows for adaptive selection of the classifier. To address the issue of missing target information, the method incorporates a stereo-vision-based mechanism to complete the localization region. This approach effectively handles challenges related to target appearance deformation, significant scale variations, motion blur, and occlusions. |
| format | Article |
| id | doaj-art-b763adebe71f4cae868e7b4f779d5a27 |
| institution | Kabale University |
| issn | 2076-3417 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj-art-b763adebe71f4cae868e7b4f779d5a272025-01-10T13:14:22ZengMDPI AGApplied Sciences2076-34172024-12-011518110.3390/app15010081A Dynamic Measurement System Based on Adaptive Clustering and Multi-ClassifierBowen Shi0Hongjian You1Huixian Wang2Key Laboratory of Target Cognition and Application Technology (TCAT), Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, ChinaKey Laboratory of Target Cognition and Application Technology (TCAT), Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, ChinaKey Laboratory of Target Cognition and Application Technology (TCAT), Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, ChinaThis technology is highly suitable for detecting and tracking multi-skeletal targets in the field of aerial refueling. The paper presents a target feature responder based on K-means clustering, used for categorizing samples and training models. It employs a decision function to optimize the localization region across various classifier detection and tracking algorithms for targets. Additionally, a state judgment module scores the classifiers based on target state and depth information, which allows for adaptive selection of the classifier. To address the issue of missing target information, the method incorporates a stereo-vision-based mechanism to complete the localization region. This approach effectively handles challenges related to target appearance deformation, significant scale variations, motion blur, and occlusions.https://www.mdpi.com/2076-3417/15/1/81aerial refuelingstereo visiondetection and tracking3D measurement |
| spellingShingle | Bowen Shi Hongjian You Huixian Wang A Dynamic Measurement System Based on Adaptive Clustering and Multi-Classifier Applied Sciences aerial refueling stereo vision detection and tracking 3D measurement |
| title | A Dynamic Measurement System Based on Adaptive Clustering and Multi-Classifier |
| title_full | A Dynamic Measurement System Based on Adaptive Clustering and Multi-Classifier |
| title_fullStr | A Dynamic Measurement System Based on Adaptive Clustering and Multi-Classifier |
| title_full_unstemmed | A Dynamic Measurement System Based on Adaptive Clustering and Multi-Classifier |
| title_short | A Dynamic Measurement System Based on Adaptive Clustering and Multi-Classifier |
| title_sort | dynamic measurement system based on adaptive clustering and multi classifier |
| topic | aerial refueling stereo vision detection and tracking 3D measurement |
| url | https://www.mdpi.com/2076-3417/15/1/81 |
| work_keys_str_mv | AT bowenshi adynamicmeasurementsystembasedonadaptiveclusteringandmulticlassifier AT hongjianyou adynamicmeasurementsystembasedonadaptiveclusteringandmulticlassifier AT huixianwang adynamicmeasurementsystembasedonadaptiveclusteringandmulticlassifier AT bowenshi dynamicmeasurementsystembasedonadaptiveclusteringandmulticlassifier AT hongjianyou dynamicmeasurementsystembasedonadaptiveclusteringandmulticlassifier AT huixianwang dynamicmeasurementsystembasedonadaptiveclusteringandmulticlassifier |