Now showing items 1-20 of 20

    • Automated Parts-Based Model for Recognizing Human–Object Interactions from Aerial Imagery with Fully Convolutional Network 

      Ghadi, Yazeed Yasin; Waheed, Manahil; al Shloul, Tamara; Alsuhibany, Suliman A.; Jalal, Ahmad; Park, Jeongmin (MDPI, 2022)
      Advanced aerial images have led to the development of improved human–object interaction recognition (HOI) methods for usage in surveillance, security, and public monitoring systems. Despite the ever-increasing rate of ...
    • Automatic Anomaly Monitoring in Public Surveillance Areas 

      Alarfaj, Mohammed; Pervaiz, Mahwish; Ghadi, Yazeed Yasin; Al Shloul, Tamara; Alsuhibany, Suliman A.; Jalal, Ahmad; Park, Jeongmin (Tech Science Press, 2022)
      With the dramatic increase in video surveillance applications and public safety measures, the need for an accurate and effective system for abnormal/sus-picious activity classification also increases. Although it has ...
    • Body Worn Sensors for Health Gaming and e-Learning in Virtual Reality 

      Afsar, Mir Mushhood; Saqib, Shizza; Ghadi, Yazeed Yasin; Alsuhibany, Suliman A.; Jalal, Ahmad; Park, Jeongmin (Tech Science Press, 2022)
      Virtual reality is an emerging field in the whole world. The problem faced by people today is that they are more indulged in indoor technology rather than outdoor activities. Hence, the proposed system introduces a fitness ...
    • CNN Based Multi-Object Segmentation and Feature Fusion for Scene Recognition 

      Rafique, Adnan Ahmed; Ghadi, Yazeed Yasin; Alsuhibany, Suliman A.; Chelloug, Samia Allaoua; Jalal, Ahmad; Park, Jeongmin (Tech Science Press, 2022)
      Latest advancements in vision technology offer an evident impact on multi-object recognition and scene understanding. Such scene-understanding task is a demanding part of several technologies, like augmented reality-based ...
    • Home Automation-Based Health Assessment along Gesture Recognition via Inertial Sensors 

      Rustam, Hammad; Muneeb, Muhammad; Alsuhibany, Suliman A.; Ghadi, Yazeed Yasin; Al Shloul, Tamara; Jalal, Ahmad; Park, Jeongmin (Tech Science Press, 2023)
      Hand gesture recognition (HGR) is used in a numerous applications, including medical health-care, industrial purpose and sports detection. We have developed a real-time hand gesture recognition system using inertial sensors ...
    • Human Pose Estimation and Object Interaction for Sports Behaviour 

      Arif, Ayesha; Ghadi, Yazeed Yasin; Alarfaj, Mohammed; Jalal, Ahmad; Kamal, Shaharyar; Kim, Dong-Seong (Tech Science Press, 2022)
      In the new era of technology, daily human activities are becoming more challenging in terms of monitoring complex scenes and backgrounds. To understand the scenes and activities from human life logs, human-object interaction ...
    • An Intelligent HealthCare Monitoring Framework for Daily Assistant Living 

      Ghadi, Yazeed Yasin; Khalid, Nida; Alsuhibany, Suliman A.; Al Shloul, Tamara; Jalal, Ahmad; Park, Jeongmin (Tech Science Press, 2022)
      Human Activity Recognition (HAR) plays an important role in life care and health monitoring since it involves examining various activities of patients at homes, hospitals, or offices. Hence, the proposed system integrates ...
    • Intelligent Sign Language Recognition System for E-Learning Context 

      Hussain, Muhammad Jamil; Shaoor, Ahmad; Alsuhibany, Suliman A.; Ghadi, Yazeed Yasin; al Shloul, Tamara; Jalal, Ahmad; Park, Jeongmin (Tech Science Press, 2022)
      In this research work, an efficient sign language recognition tool for e-learning has been proposed with a new type of feature set based on angle and lines. This feature set has the ability to increase the overall performance ...
    • An LSTM-Based Approach for Understanding Human Interactions Using Hybrid Feature Descriptors over Depth Sensors 

      Waheed, Manahil; Jalal, Ahmad; Alarfaj, Mohammed; Ghadi, Yazeed Yasin; Al Shloul, Tamara; Kamal, Shaharyar; Kim, Dong-Seong (Institute of Electrical and Electronics Engineers Inc., 2021)
      Over the past few years, automatic recognition of human interactions has drawn significant attention from researchers working in the field of Artificial Intelligence (AI). And feature extraction is one of the most critical ...
    • MS-DLD: Multi-Sensors based Daily Locomotion Detection via Kinematic-Static Energy and Body-Specific HMMs 

      Ghadi, Yazeed Yasin; Javeed, Madiha; Alarfaj, Mohammed; Al shloul, Tamara; Al suhibany, Suliman A.; Jalal, Ahmad; Kamal, Shahary; Kim, Dong-Seong (Institute of Electrical and Electronics Engineers Inc., 2022)
      More adaptable and user-independent techniques are required for multi-sensors based daily locomotion detection (MS-DLD). This research study proposes a couple of locomotion detection methods using body-worn multi-sensors ...
    • Multi-Person Tracking and Crowd Behavior Detection via Particles Gradient Motion Descriptor and Improved Entropy Classifier 

      Abdullah, Faisal; Ghadi, Yazeed Yasin; Gochoo, Munkhjargal; Jalal, Ahmad; Kim, Kibum (MDPI AG., 2021)
      To prevent disasters and to control and supervise crowds, automated video surveillance has become indispensable. In today’s complex and crowded environments, manual surveillance and monitoring systems are inefficient, labor ...
    • Robust Object Categorization and Scene Classification over Remote Sensing Images via Features Fusion and Fully Convolutional Network 

      Ghadi, Yazeed Yasin; Rafique, Adnan Ahmed; Al Shloul, Tamara; Alsuhibany, Suliman A.; Jalal, Ahmad; Park, Jeongmin (MDPI, 2022)
      The latest visionary technologies have made an evident impact on remote sensing scene classification. Scene classification is one of the most challenging yet important tasks in understanding high-resolution aerial and ...
    • Self-Care Assessment for Daily Living Using Machine Learning Mechanism 

      Batool, Mouazma; Ghadi, Yazeed Yasin; Alsuhibany, Suliman A.; al Shloul, Tamara; Jalal, Ahmad; Park, Jeongmin (Tech Science Press, 2022)
      Nowadays, activities of daily living (ADL) recognition system has been considered an important field of computer vision.Wearable and optical sensors are widely used to assess the daily living activities in healthy people ...
    • Semantic Recognition of Human-Object Interactions via Gaussian-based Elliptical Modelling and Pixel-Level Labeling 

      Khalid, Nida; Ghadi, Yazeed Yasin; Gochoo, Munkhjargal; Jalal, Ahmad; Kim, Kibum (Institute of Electrical and Electronics Engineers Inc., 2021)
      Human-Object Interaction (HOI) recognition, due to its significance in many computer vision-based applications, requires in-depth and meaningful details from image sequences. Incorporating semantics in scene understanding ...
    • Sensors-Based Ambient Assistant Living via E-Monitoring Technology 

      Hafeez, Sadaf; Ghadi, Yazeed Yasin; Alarfaj, Mohammed; al Shloul, Tamara; Jalal, Ahmad; Kamal, Shaharyar; Kim, Dong-Seong (Tech Science Press, 2022)
      Independent human living systems require smart, intelligent, and sustainable online monitoring so that an individual can be assisted timely. Apart from ambient assisted living, the task of monitoring human activities plays ...
    • A smart surveillance system for people counting and tracking using particle flow and modified som 

      Pervaiz, Mahwish; Ghadi, Yazeed Yasin; Gochoo, Munkhjargal; Jalal, Ahmad; Kamal, Shaharyar; Kim, Dong-Seong (MDPI AG., 2021)
      Based on the rapid increase in the demand for people counting and tracking systems for surveillance applications, there is a critical need for more accurate, efficient, and reliable systems. The main goal of this study was ...
    • Smartphone Sensor-Based Human Locomotion Surveillance System Using Multilayer Perceptron 

      Azmat, Usman; Ghadi, Yazeed Yasin; Al Shloul, Tamara; Alsuhibany, Suliman A.; Jalal, Ahmad; Park, Jeongmin (MDPI, 2022)
      Applied sensing technology has made it possible for human beings to experience a revolutionary aspect of the science and technology world. Along with many other fields in which this technology is working wonders, human ...
    • Smartphone Sensors Based Physical Life-Routine for Health Education 

      Al Shloul, Tamara; Azmat, Usman; Alsuhibany, Suliman A.; Ghadi, Yazeed Yasin; Jalal, Ahmad; Park, Jeongmin (Tech Science Press, 2022)
      The physical and the mental health of a human being largely depends upon his physical life-routine (PLR) and today’s much advanced technological methods make it possible to recognize and keep track of an individual’s PLR. ...
    • Syntactic model-based human body 3D reconstruction and event classification via association based features mining and deep learning 

      Ghadi, Yazeed; Akhter, Israr; Alarfaj, Mohammed; Jalal, Ahmad; Kim​, Kibum (PeerJ Inc., 2021)
      The study of human posture analysis and gait event detection from various types of inputs is a key contribution to the human life log. With the help of this research and technologies humans can save costs in terms of time ...
    • A Systematic Deep Learning Based Overhead Tracking and Counting System Using RGB-D Remote Cameras 

      Gochoo, Munkhjargal; Rizwan, Syeda Amna; Ghadi, Yazeed Yasin; Jalal, Ahmad; Kim, Kibum (MDPI AG., 2021)
      Automatic head tracking and counting using depth imagery has various practical applications in security, logistics, queue management, space utilization and visitor counting. However, no currently available system can clearly ...