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 …

[PDF][PDF] Abnormal human behavior detection in videos: A review

H Mu, R Sun, G Yuan, Y Wang - Information Technology and Control, 2021 - itc.ktu.lt
Abnormal Human Behavior Detection in Videos: A Review Page 1 Information Technology
and Control 2021/3/50 522 Abnormal Human Behavior Detection in Videos: A Review ITC 3/50 …

Visual re-identification across large, distributed camera networks

VS Kenk, S Kovačič, M Kristan, M Hajdinjak… - Image and vision …, 2015 - Elsevier
We propose a holistic approach to the problem of re-identification in an environment of
distributed smart cameras. We model the re-identification process in a distributed camera …

Novelty detection review state of art and discussion of new innovations in the main application domains

B Ouafae, L Oumaima, R Mariam… - 2020 1st International …, 2020 - ieeexplore.ieee.org
Novelty detection is the identification of new or unknown data or signals that a machine
learning system is not aware of during training. It is one of the fundamental requirements of a …

Lane detection by trajectory clustering in urban environments

Z Chen, Y Yan, T Ellis - 17th International IEEE Conference on …, 2014 - ieeexplore.ieee.org
Extraction of road geometry and vehicle motion behaviour are important for the semantic
interpretation of traffic flow patterns, as a component of an intelligent vision-based traffic …

Detecting anomalous behaviour using heterogeneous data

AM Ali, P Angelov, X Gu - … Systems: Contributions Presented at the 16th …, 2017 - Springer
In this paper, we propose a method to detect anomalous behaviour using heterogenous
data. This method detects anomalies based on the recently introduced approach known as …

Vision-based human activity recognition

T Mahmud, M Hasan - Contactless Human Activity Analysis, 2021 - Springer
Human activity analysis is an important problem studied widely in the vision community.
Recognizing activities is crucial for a number of practical applications in different domains …

Real-time novelty detection in video using background subtraction techniques: state of the art a practical review

G Morris, P Angelov - … on Systems, Man, and Cybernetics (SMC …, 2014 - ieeexplore.ieee.org
Autonomously detecting novelties using background subtraction has quickly become a very
important area of image analysis with many different approaches to novelty detection and …

Anomaly Detection through Surveillance Videos using Convolutional Neural Network

D Eppakayala, A Sana, S Mishra… - … on Computing for …, 2024 - ieeexplore.ieee.org
The footage from the ever-expanding network of surveillance cameras is like an ocean, it
contains a large amount of information that is difficult for humans to analyze in real-time. The …

Lane detection by combining trajectory clustering and curve complexity computing in urban environments

Z Yang, H Li, S Ali, Y Ao, S Guo - 2017 13th International …, 2017 - ieeexplore.ieee.org
Detecting lane automatically from the IP camera is an important component of the intelligent
vision-based traffic big data system. Many previous studies focus on the main lanes …