A survey on video-based human action recognition: recent updates, datasets, challenges, and applications

P Pareek, A Thakkar - Artificial Intelligence Review, 2021 - Springer
Abstract Human Action Recognition (HAR) involves human activity monitoring task in
different areas of medical, education, entertainment, visual surveillance, video retrieval, as …

Selecting training sets for support vector machines: a review

J Nalepa, M Kawulok - Artificial Intelligence Review, 2019 - Springer
Support vector machines (SVMs) are a supervised classifier successfully applied in a
plethora of real-life applications. However, they suffer from the important shortcomings of …

Detecting non-hardhat-use by a deep learning method from far-field surveillance videos

Q Fang, H Li, X Luo, L Ding, H Luo, TM Rose… - Automation in …, 2018 - Elsevier
Hardhats are an important safety measure used to protect construction workers from
accidents. However, accidents caused in ignorance of wearing hardhats still occur. In order …

A review of state-of-the-art techniques for abnormal human activity recognition

C Dhiman, DK Vishwakarma - Engineering Applications of Artificial …, 2019 - Elsevier
The concept of intelligent visual identification of abnormal human activity has raised the
standards of surveillance systems, situation cognizance, homeland safety and smart …

Vision-based target detection and localization via a team of cooperative UAV and UGVs

S Minaeian, J Liu, YJ Son - IEEE Transactions on systems, man …, 2015 - ieeexplore.ieee.org
Unmanned vehicles (UVs) play a key role in autonomous surveillance scenarios. A major
task needed by these UVs in undertaking autonomous patrol missions is to detect the targets …

A comprehensive review on handcrafted and learning-based action representation approaches for human activity recognition

AB Sargano, P Angelov, Z Habib - applied sciences, 2017 - mdpi.com
Human activity recognition (HAR) is an important research area in the fields of human
perception and computer vision due to its wide range of applications. These applications …

Amateur drone monitoring: State-of-the-art architectures, key enabling technologies, and future research directions

Z Kaleem, MH Rehmani - IEEE Wireless Communications, 2018 - ieeexplore.ieee.org
The UAV or mini-drones equipped with sensors are becoming increasingly popular for
various commercial, industrial, and public-safety applications. However, drones with …

CAPturAR: An augmented reality tool for authoring human-involved context-aware applications

T Wang, X Qian, F He, X Hu, K Huo, Y Cao… - Proceedings of the 33rd …, 2020 - dl.acm.org
Recognition of human behavior plays an important role in context-aware applications.
However, it is still a challenge for end-users to build personalized applications that …

A survey of recent work on video summarization: approaches and techniques

V Tiwari, C Bhatnagar - Multimedia Tools and Applications, 2021 - Springer
The volume of video data generated has seen an exponential growth over the years and
video summarization has emerged as a process that can facilitate efficient storage, quick …

LiDAR-based detection, tracking, and property estimation: A contemporary review

M Hasan, J Hanawa, R Goto, R Suzuki, H Fukuda… - Neurocomputing, 2022 - Elsevier
Object detection, Person tracking, and Person property estimation (PPE) are identical
innovation areas trying to improve their accuracy in different parameters to fit various real …