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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 ...
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 ...
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 ...
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 ...
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 ...
Predictive Auto-scaling of Multi-tier Applications Using Performance Varying Cloud Resources
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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 ...
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 ...
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 ...
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 ...
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 ...