• A review on soccer player tracking techniques based on extracted features 

      Al-Ali A.; Almaadeed S. ( Institute of Electrical and Electronics Engineers Inc. , 2018 , Conference Paper)
      Playing games specially soccer is one of the most likable activities which performed by a large mass base in most countries. All the broadcasted videos of these games are taken as an extensive challenging by researchers ...
    • An automated robust segmentation method for intravascular ultrasound images 

      Manandhar, Prakash; Chen, Chi Hau; Coskun, Ahmet Umit; Qidwai, Uvais A. ( World Scientific Publishing Co. , 2014 , Book chapter)
      It is widely known that the state of a patient's coronary heart disease can be better assessed using intravascular ultrasound (IVUS) than with more conventional angiography. Recent work has shown that segmentation and 3D ...
    • Applications, databases and open computer vision research from drone videos and images: a survey 

      Akbari Y.; Almaadeed N.; Al-Maadeed, Somaya; Elharrouss O. ( Springer Science and Business Media B.V. , 2021 , Article)
      Analyzing videos and images captured by unmanned aerial vehicles or aerial drones is an emerging application attracting significant attention from researchers in various areas of computer vision. Currently, the major ...
    • Automated detection of anomalies in sewer closed circuit television videos using proportional data modeling 

      Moradi, Saeed; Zayed, Tarek; Hawari, Alaa H. ( International Society for Trenchless Technology , 2016 , Conference Paper)
      Sewer pipeline condition information is usually collected using closed circuit television (CCTV). Moreover, in order to evaluate the condition of pipeline, data should be processed by a certified operator, which is time ...
    • CamNav: a computer-vision indoor navigation system 

      Karkar A.G.; Al-Maadeed, Somaya; Kunhoth J.; Bouridane A. ( Springer , 2021 , Article)
      We present CamNav, a vision-based navigation system that provides users with indoor navigation services. CamNav captures images in real time while the user is walking to recognize their current location. It does not require ...
    • Comparative analysis of computer-vision and BLE technology based indoor navigation systems for people with visual impairments 

      Kunhoth J.; Karkar A.; Al-Maadeed S.; Al-Attiyah A. ( BioMed Central Ltd. , 2019 , Article)
      Background: Considerable number of indoor navigation systems has been proposed to augment people with visual impairments (VI) about their surroundings. These systems leverage several technologies, such as computer-vision, ...
    • Composition Loss for Counting, Density Map Estimation and Localization in Dense Crowds 

      Idrees H.; Tayyab M.; Athrey K.; Zhang D.; Al-Maadeed, Somaya; ... more authors ( Springer Verlag , 2018 , Conference Paper)
      With multiple crowd gatherings of millions of people every year in events ranging from pilgrimages to protests, concerts to marathons, and festivals to funerals; visual crowd analysis is emerging as a new frontier in ...
    • Crowd counting Using DRL-based segmentation and RL-based density estimation 

      Elharrouss, Omar; Almaadeed, Noor; Al-Maadeed, Somaya; Abualsaud, Khalid; Mohamed, Amr; ... more authors ( Institute of Electrical and Electronics Engineers Inc. , 2022 , Conference Paper)
      People counting is one of the computer vision tasks that can be useful for crowd management. In addition, estimating the crowdedness of a surveilled scene for crowd behavior analysis is one of the prominent challenges in ...
    • Dairy Cow Rumination Detection: A Deep Learning Approach 

      Ayadi, Safa; Ben Said, Ahmed; Jabbar, Rateb; Aloulou, Chafik; Chabbouh, Achraf; ... more authors ( Springer Science and Business Media Deutschland GmbH , 2020 , Conference Paper)
      Cattle activity is an essential index for monitoring health and welfare of the ruminants. Thus, changes in the livestock behavior are a critical indicator for early detection and prevention of several diseases. Rumination ...
    • Federated Learning Meets Human Emotions: A Decentralized Framework for Human-Computer Interaction for IoT Applications 

      Chhikara, Prateek; Singh, Prabhjot; Tekchandani, Rajkumar; Kumar, Neeraj; Guizani, Mohsen ( IEEE Internet of Things Journal , 2021 , Article)
      As stated by Spock, 'change is the essential process of all existence,' which is reflected in everyday applications in our daily lives. We, as humans, just need to find a way to make the best use of the current technological ...
    • Indoor positioning and wayfinding systems: a survey 

      Kunhoth J.; Karkar A.G.; Al-Maadeed, Somaya; Al-Ali A. ( Springer , 2020 , Article)
      Navigation systems help users access unfamiliar environments. Current technological advancements enable users to encapsulate these systems in handheld devices, which effectively increases the popularity of navigation systems ...
    • Multi-scale-based Network for Image Dehazing 

      Araji, Chaza; Zahra, Ayaa; Alinsari, Leen; Al-Aloosi, Maryam; Elharrouss, Omar; ... more authors ( Institute of Electrical and Electronics Engineers Inc. (IEEE) , 2023 , Article)
      Image and video dehazing is a difficult subject that has received a lot of attention in the field of computer vision. The presence of air haze in photos and movies can reduce visual quality dramatically, resulting in a ...
    • Progressive image stitching algorithm for vision based automated inspection 

      Aliakbak, Muhammad; Qidwai, Uvais; Jahanshahi, Mohammad R; Masri, Sami; Shen, Wei-Min ( IEEE Computer Society , 2016 , Conference Paper)
      The increasing number of skyscrapers along with the large number of tall bridges throughout the world also increases the demand of a robust, automated and remotely controlled health monitoring system for civil architectures. ...
    • VisDrone-CC2020: The Vision Meets Drone Crowd Counting Challenge Results 

      Du D.; Wen L.; Zhu P.; Fan H.; Hu Q.; ... more authors ( Springer Science and Business Media Deutschland GmbH , 2020 , Conference Paper)
      Crowd counting on the drone platform is an interesting topic in computer vision, which brings new challenges such as small object inference, background clutter and wide viewpoint. However, there are few algorithms focusing ...