267 citations · 343 across the 10 of their papers we have counts for
10 papers
Lightweight Encoder-Decoder Architecture for Foot Ulcer Segmentation
Shahzad Ali, Arif Mahmood, Soon Ki Jung
Continuous monitoring of foot ulcer healing is needed to ensure the efficacy of a given treatment and to avoid any possibility of deterioration. Foot ulcer segmentation is an essen…
Brain MRI Segmentation using Rule-Based Hybrid Approach
Mustansar Fiaz, Kamran Ali, Abdul Rehman +2
Medical image segmentation being a substantial component of image processing plays a significant role to analyze gross anatomy, to locate an infirmity and to plan the surgical proc…
Illumination Invariant Foreground Object Segmentation using ForeGANs
Maryam Sultana, Soon Ki Jung
The foreground segmentation algorithms suffer performance degradation in the presence of various challenges such as dynamic backgrounds, and various illumination conditions. To han…
Handcrafted and Deep Trackers: Recent Visual Object Tracking Approaches and Trends
Mustansar Fiaz, Arif Mahmood, Sajid Javed +1
In recent years visual object tracking has become a very active research area. An increasing number of tracking algorithms are being proposed each year. It is because tracking has…
Deep Neural Network Concepts for Background Subtraction: A Systematic Review and Comparative Evaluation
Thierry Bouwmans, Sajid Javed, Maryam Sultana +1
Conventional neural networks show a powerful framework for background subtraction in video acquired by static cameras. Indeed, the well-known SOBS method and its variants based on…
Unsupervised RGBD Video Object Segmentation Using GANs
Maryam Sultana, Arif Mahmood, Sajid Javed +1
Video object segmentation is a fundamental step in many advanced vision applications. Most existing algorithms are based on handcrafted features such as HOG, super-pixel segmentati…
Unsupervised Deep Context Prediction for Background Foreground Separation
Maryam Sultana, Arif Mahmood, Sajid Javed +1
In many advanced video based applications background modeling is a pre-processing step to eliminate redundant data, for instance in tracking or video surveillance applications. Ove…
Tracking Noisy Targets: A Review of Recent Object Tracking Approaches
Mustansar Fiaz, Arif Mahmood, Soon Ki Jung
Visual object tracking is an important computer vision problem with numerous real-world applications including human-computer interaction, autonomous vehicles, robotics, motion-bas…
Comparative Study of ECO and CFNet Trackers in Noisy Environment
Mustansar Fiaz, Sajid Javed, Arif Mahmood +1
Object tracking is one of the most challenging task and has secured significant attention of computer vision researchers in the past two decades. Recent deep learning based tracker…
Decomposition into Low-rank plus Additive Matrices for Background/Foreground Separation: A Review for a Comparative Evaluation with a Large-Scale Dataset
Thierry Bouwmans, Andrews Sobral, Sajid Javed +2
Recent research on problem formulations based on decomposition into low-rank plus sparse matrices shows a suitable framework to separate moving objects from the background. The mos…