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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 ...
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 ...
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 ...
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 ...