[HTML][HTML] A framework of human detection and action recognition based on uniform segmentation and combination of Euclidean distance and joint entropy-based …

M Sharif, MA Khan, T Akram, MY Javed, T Saba… - EURASIP Journal on …, 2017 - Springer
Human activity monitoring in the video sequences is an intriguing computer vision domain
which incorporates colossal applications, eg, surveillance systems, human-computer …

Human activity recognition using mixture of heterogeneous features and sequential minimal optimization

H Naveed, G Khan, AU Khan, A Siddiqi… - International Journal of …, 2019 - Springer
Automated detection and tracking of a person's actions plays a vital role in surveillance
systems. Human activity detection has been carried out by using a variety of features; …

Human action recognition: a framework of statistical weighted segmentation and rank correlation-based selection

M Sharif, MA Khan, F Zahid, JH Shah… - Pattern analysis and …, 2020 - Springer
Human action recognition from a video sequence has received much attention lately in the
field of computer vision due to its range of applications in surveillance, healthcare, smart …

[HTML][HTML] Human action recognition: a paradigm of best deep learning features selection and serial based extended fusion

S Khan, MA Khan, M Alhaisoni, U Tariq, HS Yong… - Sensors, 2021 - mdpi.com
Human action recognition (HAR) has gained significant attention recently as it can be
adopted for a smart surveillance system in Multimedia. However, HAR is a challenging task …

A fused heterogeneous deep neural network and robust feature selection framework for human actions recognition

MA Khan, YD Zhang, M Allison, S Kadry… - Arabian Journal for …, 2021 - Springer
In the area of computer vision (CV), action recognition is a hot topic of research nowadays
due to famous applications, which include human–machine interaction, robotics, visual …

Improved strategy for human action recognition; experiencing a cascaded design

MA Khan, T Akram, M Sharif, N Muhammad… - IET Image …, 2020 - Wiley Online Library
Human motion analysis has received a lot of attention in the computer vision community
during the last few years. This research domain is supported by a wide spectrum of …

[HTML][HTML] An efficient human action recognition framework with pose-based spatiotemporal features

S Agahian, F Negin, C Köse - Engineering Science and Technology, an …, 2020 - Elsevier
In the past two decades, human action recognition has been among the most challenging
tasks in the field of computer vision. Recently, extracting accurate and cost-efficient skeleton …

Human action recognition using fusion of multiview and deep features: an application to video surveillance

MA Khan, K Javed, SA Khan, T Saba, U Habib… - Multimedia tools and …, 2024 - Springer
Abstract Human Action Recognition (HAR) has become one of the most active research area
in the domain of artificial intelligence, due to various applications such as video surveillance …

HAREDNet: A deep learning based architecture for autonomous video surveillance by recognizing human actions

IM Nasir, M Raza, JH Shah, SH Wang, U Tariq… - Computers and …, 2022 - Elsevier
Abstract Human Action Recognition (HAR) is still considered as a significant research area
due to its emerging real-time applications like video surveillance, automated surveillance …

Hand-crafted and deep convolutional neural network features fusion and selection strategy: An application to intelligent human action recognition

MA Khan, M Sharif, T Akram, M Raza, T Saba… - Applied Soft …, 2020 - Elsevier
Human action recognition (HAR) has gained much attention in the last few years due to its
enormous applications including human activity monitoring, robotics, visual surveillance, to …