267 citations · 343 across the 10 of their papers we have counts for
6 papers · 1 filter
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…