Machine learning algorithms for social media analysis: A survey
TK Balaji, CSR Annavarapu, A Bablani - Computer Science Review, 2021 - Elsevier
Social Media (SM) are the most widespread and rapid data generation applications on the
Internet increase the study of these data. However, the efficient processing of such massive …
Internet increase the study of these data. However, the efficient processing of such massive …
Background subtraction in real applications: Challenges, current models and future directions
B Garcia-Garcia, T Bouwmans, AJR Silva - Computer Science Review, 2020 - Elsevier
Computer vision applications based on videos often require the detection of moving objects
in their first step. Background subtraction is then applied in order to separate the background …
in their first step. Background subtraction is then applied in order to separate the background …
Human trajectory prediction via neural social physics
Trajectory prediction has been widely pursued in many fields, and many model-based and
model-free methods have been explored. The former include rule-based, geometric or …
model-free methods have been explored. The former include rule-based, geometric or …
Human action recognition and prediction: A survey
Derived from rapid advances in computer vision and machine learning, video analysis tasks
have been moving from inferring the present state to predicting the future state. Vision-based …
have been moving from inferring the present state to predicting the future state. Vision-based …
Render for cnn: Viewpoint estimation in images using cnns trained with rendered 3d model views
Object viewpoint estimation from 2D images is an essential task in computer vision.
However, two issues hinder its progress: scarcity of training data with viewpoint annotations …
However, two issues hinder its progress: scarcity of training data with viewpoint annotations …
A review of human activity recognition methods
M Vrigkas, C Nikou, IA Kakadiaris - Frontiers in Robotics and AI, 2015 - frontiersin.org
Recognizing human activities from video sequences or still images is a challenging task due
to problems, such as background clutter, partial occlusion, changes in scale, viewpoint …
to problems, such as background clutter, partial occlusion, changes in scale, viewpoint …
A review on human activity recognition using vision‐based method
Human activity recognition (HAR) aims to recognize activities from a series of observations
on the actions of subjects and the environmental conditions. The vision‐based HAR …
on the actions of subjects and the environmental conditions. The vision‐based HAR …
A deep convolutional neural network for video sequence background subtraction
M Babaee, DT Dinh, G Rigoll - Pattern Recognition, 2018 - Elsevier
In this work, we present a novel background subtraction from video sequences algorithm
that uses a deep Convolutional Neural Network (CNN) to perform the segmentation. With …
that uses a deep Convolutional Neural Network (CNN) to perform the segmentation. With …
SuBSENSE: A universal change detection method with local adaptive sensitivity
PL St-Charles, GA Bilodeau… - IEEE Transactions on …, 2014 - ieeexplore.ieee.org
Foreground/background segmentation via change detection in video sequences is often
used as a step** stone in high-level analytics and applications. Despite the wide variety of …
used as a step** stone in high-level analytics and applications. Despite the wide variety of …
Video processing from electro-optical sensors for object detection and tracking in a maritime environment: A survey
DK Prasad, D Rajan, L Rachmawati… - IEEE Transactions …, 2017 - ieeexplore.ieee.org
We present a survey on maritime object detection and tracking approaches, which are
essential for the development of a navigational system for autonomous ships. The electro …
essential for the development of a navigational system for autonomous ships. The electro …