Depth sensors-based action recognition using a modified K-ary entropy classifier
Surveillance system is acquiring an ample interest in the field of computer vision. Existing
surveillance system usually relies on optical or wearable sensors for indoor and outdoor …
surveillance system usually relies on optical or wearable sensors for indoor and outdoor …
Multiple events detection using context-intelligence features
Event detection systems are mainly used to observe and monitor human behavior via red
green blue (RGB) images and videos. Event detection using RGB images is one of the …
green blue (RGB) images and videos. Event detection using RGB images is one of the …
[PDF][PDF] Exploiting Human Pose and Scene Information for Interaction Detection
M Waheed, S Aaaa, M Shorfuzzaman… - Comput. Mater …, 2023 - cdn.techscience.cn
Identifying human actions and interactions finds its use in many areas, such as security,
surveillance, assisted living, patient monitoring, rehabilitation, sports, and e-learning. This …
surveillance, assisted living, patient monitoring, rehabilitation, sports, and e-learning. This …
A novel deep learning model for understanding two-person interactions using depth sensors
Despite the ever-increasing efforts made in the field of data science and artificial
intelligence, the task of automatic human interaction recognition remains challenging …
intelligence, the task of automatic human interaction recognition remains challenging …
[HTML][HTML] A graph-based approach to recognizing complex human object interactions in sequential data
Featured Application The proposed methodology is a computer vision application for
monitoring and recognizing human–object interactions and has been evaluated over three …
monitoring and recognizing human–object interactions and has been evaluated over three …
Context aware crowd tracking and anomaly detection via deep learning and social force model
The world's expanding populace, the variety of human social factors, and the densely
populated environment make humans feel uncertain. Individuals need a safety officer who …
populated environment make humans feel uncertain. Individuals need a safety officer who …
[HTML][HTML] Employing FGP-3D, a fully gated and anchored methodology, to identify skeleton-based action recognition
Recent years have seen an explosion in interest in and development of action recognition
based on skeletal data. Contemporary methods using fully gated units can successfully …
based on skeletal data. Contemporary methods using fully gated units can successfully …
Fundamental Recognition of ADL Assessments Using Machine Learning Engineering
This paper describes an RGBD (Red Green Blue Depth) image daily life activity
identification system that can monitor and detect human activities without the need of optical …
identification system that can monitor and detect human activities without the need of optical …
Body worn sensors for health gaming and e-Learning in virtual reality
Virtual reality is an emerging field in the whole world. The problem faced by people today is
that they are more indulged in indoor technology rather than outdoor activities. Hence, the …
that they are more indulged in indoor technology rather than outdoor activities. Hence, the …
Utilizing CPG-3D, graph theory anchored approach to recognize human action recognition
Graph theory originated as a fun way to solve math problems, but it has now evolved into a
significant mathematics subject with several applications in computer vision. The human …
significant mathematics subject with several applications in computer vision. The human …