Machine Learning Frameworks in Carpooling

V Veeraiah, V Talukdar, K Manikandan… - … of Research on AI and …, 2023 - igi-global.com
Due to the development in human population and their requirements, the vehicular
population on the globe is increasing day by day in the medium of public transportation. As a …

In-cabin monitoring system for autonomous vehicles

A Mishra, S Lee, D Kim, S Kim - Sensors, 2022 - mdpi.com
In this paper, we have demonstrated a robust in-cabin monitoring system (IMS) for safety,
security, surveillance, and monitoring, including privacy concerns for personal and shared …

Privacy‐Preserved In‐Cabin Monitoring System for Autonomous Vehicles

A Mishra, J Cha, S Kim - Computational Intelligence and …, 2022 - Wiley Online Library
Fully autonomous vehicles (FAVs) lack monitoring inside the cabin. Therefore, an in‐cabin
monitoring system (IMS) is required for surveilling people causing irregular or abnormal …

[HTML][HTML] Computationally constrained audio-based violence detection through transfer learning and data augmentation techniques

F Zhu-Zhou, D Tejera-Berengué, R Gil-Pita… - Applied Acoustics, 2023 - Elsevier
Audio-based violence detection is a critical research area for enhancing public safety and
security. This paper delves into comparing machine learning models, specifically …

Efficient violence detection using transfer learning

F Santos, D Durães, FS Marcondes, S Lange… - … Conference on Practical …, 2021 - Springer
In recent years several applications, namely in surveillance, human-computer interaction
and video recovery based on its content has studied the detection and recognition of …

HCI based in-cabin monitoring system for irregular situations with occupants facial anonymization

A Mishra, J Cha, S Kim - International Conference on Intelligent Human …, 2020 - Springer
Absence of human in-charge in fully autonomous vehicles (FAVs) impose multi-pronged in-
cabin monitoring in real-time to monitor any irregular situation. Moreover, occupant's visual …

Comparison of transfer learning behaviour in violence detection with different public datasets

D Durães, F Santos, FS Marcondes, S Lange… - Progress in Artificial …, 2021 - Springer
The detection and recognition of violence have been area of interest to research, mainly in
surveillance, Human-Computer Interaction and information retrieval for video based on …

Modelling a deep learning framework for recognition of human actions on video

F Santos, D Durães, F Marcondes, M Gomes… - World Conference on …, 2021 - Springer
In Human action recognition, the identification of actions is a system that can detect human
activities. The types of human activity are classified into four different categories, depending …

Applying multisensor in‐car situations to detect violence

D Duraes, F Santos, FS Marcondes… - Expert …, 2023 - Wiley Online Library
Violence recognition is challenging because it can be presented in very different forms. For
example, it can be present in an image by a person hitting another person or present in …

Analysis of machine learning algorithms for violence detection in audio

B Veloso, D Durães, P Novais - … on Practical Applications of Agents and …, 2022 - Springer
Violence has always been part of humanity, however, there are different types of violence,
with physical violence being the most recurrent in our daily lives. This type of violence …