A Real-Time Application of Singular Spectrum Analysis to Object Tracking with SIFT

Cayiroglu, I.

doi:10.48084/etasr.5022

Cited by 4 publications

(1 citation statement)

References 24 publications

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“…Regarding object tracking algorithms, this method is commonly used to track and detect objects, such as the implementation in [4] which combines the Scale Invariant Feature Transform (SIFT) and Singular Spectrum Analysis (SSA) methods. Based on these results, we propose utilizing a combination of the YOLOv5 deep learning model with object tracking algorithms to detect and provide early alerts of fires in real-time through a camera.…”

Section: Related Workmentioning

confidence: 99%

Real-Time Fire and Smoke Detection for Trajectory Planning and Navigation of a Mobile Robot

Ngoc,

Hoang,

Hieu

et al. 2023

Eng. Technol. Appl. Sci. Res.

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Mobile robots have many industrial applications, including security, food service, and fire safety. Detecting smoke and fire quickly for early warning and monitoring is crucial in every industrial safety system. In this paper, a method for early smoke and fire detection using mobile robots equipped with cameras is presented. The method employs artificial intelligence for trajectory planning and navigation, and focus is given to detection and localization techniques for mobile robot navigation. A model of a mobile robot with Omni wheels and a modified YOLOv5 algorithm for fire and smoke detection is also introduced, which is integrated into the control system. This research addresses the issue of distinct objects of the same class by assigning each object a unique identification. The implementation not only detects fire and smoke but also identifies the position of objects in three-dimensional space, allowing the robot to map its environment incrementally for mobile navigation. The experimental results demonstrate the high accuracy achieved by the proposed method in identifying smoke and fire.

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Section: Related Workmentioning

confidence: 99%

Real-Time Fire and Smoke Detection for Trajectory Planning and Navigation of a Mobile Robot

Ngoc,

Hoang,

Hieu

et al. 2023

Eng. Technol. Appl. Sci. Res.

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Adaptive infrared patterns for microscopic surface reconstructions

Milosavljevic,

Bardosi,

Oezbek

et al. 2024

Int J CARS

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Purpose Multi-zoom microscopic surface reconstructions of operating sites, especially in ENT surgeries, would allow multimodal image fusion for determining the amount of resected tissue, for recognizing critical structures, and novel tools for intraoperative quality assurance. State-of-the-art three-dimensional model creation of the surgical scene is challenged by the surgical environment, illumination, and the homogeneous structures of skin, muscle, bones, etc., that lack invariant features for stereo reconstruction. Methods An adaptive near-infrared pattern projector illuminates the surgical scene with optimized patterns to yield accurate dense multi-zoom stereoscopic surface reconstructions. The approach does not impact the clinical workflow. The new method is compared to state-of-the-art approaches and is validated by determining its reconstruction errors relative to a high-resolution 3D-reconstruction of CT data. Results 200 surface reconstructions were generated for 5 zoom levels with 10 reconstructions for each object illumination method (standard operating room light, microscope light, random pattern and adaptive NIR pattern). For the adaptive pattern, the surface reconstruction errors ranged from 0.5 to 0.7 mm, as compared to 1–1.9 mm for the other approaches. The local reconstruction differences are visualized in heat maps. Conclusion Adaptive near-infrared (NIR) pattern projection in microscopic surgery allows dense and accurate microscopic surface reconstructions for variable zoom levels of small and homogeneous surfaces. This could potentially aid in microscopic interventions at the lateral skull base and potentially open up new possibilities for combining quantitative intraoperative surface reconstructions with preoperative radiologic imagery.

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Reliability and validity analysis of MediaPipe-based measurement system for some human rehabilitation motions

et al. 2023

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A Real-Time Application of Singular Spectrum Analysis to Object Tracking with SIFT

Cited by 4 publications

References 24 publications

Real-Time Fire and Smoke Detection for Trajectory Planning and Navigation of a Mobile Robot

Real-Time Fire and Smoke Detection for Trajectory Planning and Navigation of a Mobile Robot

Adaptive infrared patterns for microscopic surface reconstructions

Reliability and validity analysis of MediaPipe-based measurement system for some human rehabilitation motions

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