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Fulltext Moving object detection using dynamic motion modelling from UAV aerial images

Saif AF, Prabuwono AS, Mahayuddin ZR

ScientificWorldJournal, 2014;2014:890619.
PMID: 24892103 DOI: 10.1155/2014/890619

Motion analysis based moving object detection from UAV aerial image is still an unsolved issue due to inconsideration of proper motion estimation. Existing moving object detection approaches from UAV aerial images did not deal with motion based pixel intensity measurement to detect moving object robustly. Besides current research on moving object detection from UAV aerial images mostly depends on either frame difference or segmentation approach separately. There are two main purposes for this research: firstly to develop a new motion model called DMM (dynamic motion model) and secondly to apply the proposed segmentation approach SUED (segmentation using edge based dilation) using frame difference embedded together with DMM model. The proposed DMM model provides effective search windows based on the highest pixel intensity to segment only specific area for moving object rather than searching the whole area of the frame using SUED. At each stage of the proposed scheme, experimental fusion of the DMM and SUED produces extracted moving objects faithfully. Experimental result reveals that the proposed DMM and SUED have successfully demonstrated the validity of the proposed methodology.
Fulltext Moment feature based fast feature extraction algorithm for moving object detection using aerial images

Saif AF, Prabuwono AS, Mahayuddin ZR

PLoS One, 2015;10(6):e0126212.
PMID: 26030818 DOI: 10.1371/journal.pone.0126212

Fast and computationally less complex feature extraction for moving object detection using aerial images from unmanned aerial vehicles (UAVs) remains as an elusive goal in the field of computer vision research. The types of features used in current studies concerning moving object detection are typically chosen based on improving detection rate rather than on providing fast and computationally less complex feature extraction methods. Because moving object detection using aerial images from UAVs involves motion as seen from a certain altitude, effective and fast feature extraction is a vital issue for optimum detection performance. This research proposes a two-layer bucket approach based on a new feature extraction algorithm referred to as the moment-based feature extraction algorithm (MFEA). Because a moment represents the coherent intensity of pixels and motion estimation is a motion pixel intensity measurement, this research used this relation to develop the proposed algorithm. The experimental results reveal the successful performance of the proposed MFEA algorithm and the proposed methodology.
The Role of Virtual Reality in Supporting Daily Spiritual Practices Among Muslim Patients Undergoing Haemodialysis Treatment: A Fuzzy Delphi Study

Osman R, Hussein SZ, Atarhim MA, Mahayuddin ZR

J Adv Nurs, 2025 Mar 20.
PMID: 40110936 DOI: 10.1111/jan.16828

AIM: This study explores' perceptions and expectations of experts regarding the role of VR in supporting daily spirituality practices among Muslim patients undergoing haemodialysis treatment.
METHODS AND DESIGN: The Fuzzy Delphi Method (FDM) is utilised to gather insights from a panel of experts in nephrology, psychology, Islamic studies, and VR technology. A total of 11 experts was selected based on their expertise and experience in relevant domains to ensure the credibility and validity of the findings.
RESULTS: Key themes emerging from the study include VR's potential to create immersive and meaningful spiritual experiences, alleviate psychological distress, and enhance coping mechanisms. Factors concerning accessibility, cultural sensitivity, and integration into clinical settings are also highlighted as important considerations.
CONCLUSION: The study explores how VR technology can aid Muslim haemodialysis patients in spiritual routines. It underscores the significance of holistic healthcare methods in addressing patients' spiritual and psychological needs. Future research should aim to develop VR-based therapies tailored for these patients while considering practical and ethical challenges in medical settings.
IMPLICATIONS FOR THE PROFESSION AND/OR PATIENT CARE: The findings of this study have significant practical implications for designing and implementing VR interventions in healthcare settings. Developing VR content that is culturally sensitive and aligned with Islamic practices is crucial for its acceptance and effectiveness. Integrating VR into the spiritual practices of Muslim haemodialysis patients also raises ethical and pragmatic considerations.
PATIENT OR PUBLIC CONTRIBUTION: No patient or public contributions were made in this study.

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