A Novel Adaptive Tracking Approach with Integrated Object Detection and Segmentation in Dynamic Settings
Keywords:
V-SLAM, ORB-SLAM, YOLOv3, YOLOv8n, ANNAbstract
Achieving real-time performance in dynamic environments with moving objects remains asignificant challenge. This paper presents a novel approach that integrates Oriented FAST and RotatedBRIEF SLAM (ORB-SLAM3), an advanced Visual Simultaneous Localization andMapping (VSLAM) system, with an Artificial Neural Network (ANN) architecture to address this issue. Theproposed system leverages ORB f
References
. J. K. Makhubela, T. Zuva, and O. Y. Agunbiade, “A Review on Vision Simultaneous Localization and Mapping (VSLAM),” in 2018 International Conference on Intelligent and Innovative Computing Applications (ICONIC), Dec. 2018, pp. 1–5. doi: 10.1109/ICONIC.2018.8601227.
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Published
2024-08-20
How to Cite
Guru Prasad M. Bhat,Nagaraj G. Cholli. (2024). A Novel Adaptive Tracking Approach with Integrated Object Detection and Segmentation in Dynamic Settings . Journal of Computational Analysis and Applications (JoCAAA), 33(08), 6675–6688. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/3912
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