Browsing by Author "Mahmood, Arif"
Now showing items 1-18 of 18
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Action Recognition in Spectator Crowds
( Hamad bin Khalifa University Press (HBKU Press) , 2016 , Conference Paper)Action Recognition in Spectator Crowds During the Football Association competitions held in 2013 in UK, 2,273 people were arrested due to the events of lawlessness and disorder, according to the statistics collected by ... -
Background-Foreground Modeling Based on Spatiotemporal Sparse Subspace Clustering
( Institute of Electrical and Electronics Engineers Inc. , 2017 , Article)Background estimation and foreground segmentation are important steps in many high-level vision tasks. Many existing methods estimate background as a low-rank component and foreground as a sparse matrix without incorporating ... -
Canny edge detection and Hough transform for high resolution video streams using Hadoop and Spark
( Springer , 2020 , Article)Nowadays, video cameras are increasingly used for surveillance, monitoring, and activity recording. These cameras generate high resolution image and video data at large scale. Processing such large scale video streams to ... -
Constrained metric learning by permutation inducing isometries
( Institute of Electrical and Electronics Engineers Inc. , 2016 , Article)The choice of metric critically affects the performance of classification and clustering algorithms. Metric learning algorithms attempt to improve performance, by learning a more appropriate metric. Unfortunately, most of ... -
Fake visual content detection using two-stream convolutional neural networks
( Springer Science and Business Media Deutschland GmbH , 2022 , Article)Rapid progress in adversarial learning has enabled the generation of realistic-looking fake visual content. To distinguish between fake and real visual content, several detection techniques have been proposed. The performance ... -
Image de-fencing framework with hybrid inpainting algorithm
( Springer London , 2016 , Article)Detection and removal of fences from digital images become essential when an important part of the scene turns to be occluded by such unwanted structures. Image de-fencing is challenging because manually marking fence ... -
Motion-Aware Graph Regularized RPCA for background modeling of complex scenes
( Institute of Electrical and Electronics Engineers Inc. , 2016 , Conference Paper)Computing a background model from a given sequence of video frames is a prerequisite for many computer vision applications. Recently, this problem has been posed as learning a low-dimensional subspace from high dimensional ... -
Moving Object Detection in Complex Scene Using Spatiotemporal Structured-Sparse RPCA
( Institute of Electrical and Electronics Engineers Inc. , 2019 , Article)Moving object detection is a fundamental step in various computer vision applications. Robust principal component analysis (RPCA)-based methods have often been employed for this task. However, the performance of these ... -
Multi-focus image fusion using Content Adaptive Blurring
( Elsevier B.V. , 2019 , Article)Multi-focus image fusion has emerged as an important research area in information fusion. It aims at increasing the depth-of-field by extracting focused regions from multiple partially focused images, and merging them ... -
Multi-person head segmentation in low resolution crowd scenes using convolutional encoder-decoder framework
( Springer Verlag , 2019 , Conference Paper)Person head detection in crowded scenes becomes a challenging task if facial features are absent, resolution is low and viewing angles are unfavorable. Motion and out-of-focus blur along with headwear of varying shapes ... -
Palmprint identification using an ensemble of sparse representations
( Institute of Electrical and Electronics Engineers Inc. , 2017 , Article)Among various palmprint identification methods proposed in the literature, sparse representation for classification (SRC) is very attractive offering high accuracy. Although SRC has good discriminative ability, its performance ... -
Pose Detection for Partially Occluded Persons in Spectator Crowds
( Hamad bin Khalifa University Press (HBKU Press) , 2016 , Conference Paper)In recent years, vision based solutions have shown improvement in performance for scenes containing single or few persons for the tasks of person detection, tracking, and action recognition. Dense crowd analysis is the ... -
Predictive Auto-scaling of Multi-tier Applications Using Performance Varying Cloud Resources
( Institute of Electrical and Electronics Engineers Inc. , 2019 , Article)The performance of the same type of cloud resources, such as virtual machines (VMs), varies over time mainly due to hardware heterogeneity, resource contention among co-located VMs, and virtualization overhead. The performance ... -
Predictive Autoscaling of Microservices Hosted in Fog Microdata Center
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)Fog computing provides microdata center (MDC) facilities closer to the users and applications, which help to overcome the application latency and response time concerns. However, guaranteeing specific service-level objectives ... -
Robustness analysis of superpixel algorithms to image blur, additive Gaussian noise, and impulse noise
( SPIE , 2017 , Article)Superpixels have gradually become popular in computer vision and image processing applications. However, no comprehensive study has been performed to evaluate the robustness of superpixel algorithms in regard to common ... -
Subspace based network community detection using sparse linear coding
( Institute of Electrical and Electronics Engineers Inc. , 2016 , Conference Paper)Information mining from networks by identifying communities is an important problem across a number of research fields including social science, biology, physics, and medicine. Most existing community detection algorithms ... -
Using geodesic space density gradients for network community detection
( IEEE Computer Society , 2017 , Article)Many real world complex systems naturally map to network data structures instead of geometric spaces because the only available information is the presence or absence of a link between two entities in the system. To enable ... -
Web Application Resource Requirements Estimation Based on the Workload Latent Features
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)Most cloud computing platforms offer reactive resource auto-scaling mechanisms for dealing with variable traffic patterns to deliver the desired QoS properties while keeping low provisioning costs. However, a range of ...
