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 …
population on the globe is increasing day by day in the medium of public transportation. As a …
In-cabin monitoring system for autonomous vehicles
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 …
security, surveillance, and monitoring, including privacy concerns for personal and shared …
Privacy‐Preserved In‐Cabin Monitoring System for Autonomous Vehicles
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 …
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
Audio-based violence detection is a critical research area for enhancing public safety and
security. This paper delves into comparing machine learning models, specifically …
security. This paper delves into comparing machine learning models, specifically …
Efficient violence detection using transfer learning
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 …
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
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 …
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
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 …
surveillance, Human-Computer Interaction and information retrieval for video based on …
Modelling a deep learning framework for recognition of human actions on video
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 …
activities. The types of human activity are classified into four different categories, depending …
Applying multisensor in‐car situations to detect violence
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 …
example, it can be present in an image by a person hitting another person or present in …
A multi-stream framework using spatial–temporal collaboration learning networks for violence and non-violence classification in complex video environments
B Pandey, U Sinha, KK Nagwanshi - International Journal of Machine …, 2025 - Springer
Violence detection (VD) is a critical task in computer vision with applications in security,
surveillance, and public safety. The proliferation of surveillance cameras and the increasing …
surveillance, and public safety. The proliferation of surveillance cameras and the increasing …