A comprehensive review on handcrafted and learning-based action representation approaches for human activity recognition
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 …
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 …
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 …
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 …
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
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 …
interpretation of traffic flow patterns, as a component of an intelligent vision-based traffic …
Detecting anomalous behaviour using heterogeneous data
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 …
data. This method detects anomalies based on the recently introduced approach known as …
Vision-based human activity recognition
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 …
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 …
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 …
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
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 …
vision-based traffic big data system. Many previous studies focus on the main lanes …