Online Multi-Object Tracking Under Moving Unmanned Aerial Vehicle Platform Based on Object Detection and Feature Extraction Network

Liu, Zengmin; Wang, Shentao; Yao, Lixiu; Cai, Yunze

doi:10.1007/s12204-022-2540-4

Cited by 3 publications

(2 citation statements)

References 8 publications

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“…The application of three-way decision in the field of target threat assessment can be notated as multi-target three-way threat assessment. Subsequently, the literature [28][29][30][31][32] conducted improvement studies, whose main concerns are the optimization calculation of conditional probability and decision thresholds. However, the above methods still cannot meet the practical needs in complex combat scenarios well, which are manifested in the following aspects:…”

Section: Ma Et Al [10] Cloud Modelmentioning

confidence: 99%

A New Multi-Target Three-Way Threat Assessment Method with Heterogeneous Information and Attribute Relevance

Gao,

Lyu

2024

Mathematics

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Target threat assessment provides support for combat decision making. The multi-target threat assessment method based on a three-way decision can obtain threat classification while receiving threat ranking, thus avoiding the limitation of traditional two-way decisions. However, the heterogeneous situation information, attribute relevance, and adaptive information processing needs in complex battlefield environment bring challenges to existing methods. Therefore, this paper proposes a new multi-target three-way threat assessment method with heterogeneous information and attribute relevance. Firstly, dynamic assessment information is represented by heterogeneous information, and attribute weights are calculated by heterogeneous Criteria Importance Through Intercriteria Correlation (CRITIC). Then, the conditional probability is calculated by the heterogeneous weighted Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), and the adaptive risk avoidance coefficients are constructed by calculating the uncertainty of the assessment value, and then the relative loss function matrices are constructed. Finally, the comprehensive loss function matrices are obtained by the weighted Heronian mean (HM) operator, and the comprehensive thresholds are calculated to obtain the three-way rules. The case study shows that compared with the existing methods, the proposed method can effectively handle the heterogeneous information and attribute relevance, and obtain the risk avoidance coefficients without presetting or field subjective settings, which is more suitable for the complex mission environment.

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Section: Ma Et Al [10] Cloud Modelmentioning

confidence: 99%

A New Multi-Target Three-Way Threat Assessment Method with Heterogeneous Information and Attribute Relevance

Gao,

Lyu

2024

Mathematics

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“…This algorithm utilized statistical HSV color range information and boundary tracking methods to locate life jacket regions in images. Liu et al [6] proposed a single-camera vision-based approach for unmanned boats involved in water search and rescue operations. An algorithm based on RGB color features was used for target localization, segmenting the target regions in the images.…”

Section: Introductionmentioning

confidence: 99%

E-Yolov7: A Life Jacket Detection Algorithm Based on Yolov7

Xu,

Zhu

2023

Fuzzy Systems and Data Mining IX

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As the core equipment of water safety, life jackets play an indispensable role in the safety field and rescue applications. Although existing deep learning techniques and object detection methods have achieved remarkable success in various fields, there are still many challenges in applying them to life jacket detection. Complex environmental changes, occlusion problems caused by water surface fluctuations, etc. will affect the detection effect. In addition, there are relatively few datasets suitable for life jacket detection, which makes many existing detection models lack stability and generalization ability in practical application scenarios. In order to address these challenges, this paper aims to propose an efficient and accurate detection method for life jacket object detection. Specifically, we first review the relevant work of sea rescue, then collect and label a life jacket-related dataset, and then introduce EVC block based on the Yolov7 network to aggregate the local corner area information of the image, and propose an improved life jacket target detection method E-Yolov7. In the experimental and evaluation section, the proposed method was tested, comparing it with Yolov5s, Yolov7-Tiny, Yolov7x, and Yolov7. Experiments show that the improved model E-Yolov7 has better performance in the life jacket detection task, and compared with Yolov7, the precision is increased by 3.7%, the mAP is increased by 2.5% and the F1 score is increased by 2%.

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Pedestrian Multi-object Tracking Based on ResNeXt and FairMOT

He,

Che,

2023

Mechanisms and Machine Science

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Online Multi-Object Tracking Under Moving Unmanned Aerial Vehicle Platform Based on Object Detection and Feature Extraction Network

Cited by 3 publications

References 8 publications

A New Multi-Target Three-Way Threat Assessment Method with Heterogeneous Information and Attribute Relevance

A New Multi-Target Three-Way Threat Assessment Method with Heterogeneous Information and Attribute Relevance

E-Yolov7: A Life Jacket Detection Algorithm Based on Yolov7

Pedestrian Multi-object Tracking Based on ResNeXt and FairMOT

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