Jul 13, 2020 · In this work, we propose a deep learning object detection approach to the problem of tracking visitors. The proposed system can accurately ...
A deep learning object detection approach to the problem of tracking visitors that can accurately detect specific objects in videos, thus allowing for the ...
Duration: 9:53
Posted: Jul 20, 2020
Posted: Jul 20, 2020
Tracking Museum Visitors through Convolutional Object Detectors
www.researchgate.net › ... › Tracking
For these systems to be really effective, they must gather visitor data [13,17, 25] . This data collection can occur explicitly, such as through administering ...
Tracking Museum Visitors through Convolutional Object Detectors. https://doi ... 2016. Tracking Visitors in a Real Museum for Behavioral Analysis. In ...
Jun 30, 2024 · Our study is geared towards developing an adaptive convolutional neural network for accurate artifact and exhibit recognition, supplemented by a ...
From frames recorded by multiple cameras installed in exhibition chambers, visitors are tracked by an object detector and also modeled with a deep learning ...
This study aims to analyze the relationship between museum visitors and artwork via a network analysis based on visitor behavior using object detection ...
Feb 23, 2024 · We propose a novel multi-convolutional neural network, called VimoNet, which is able to recognize visitors emotions automatically in real-time based on their ...
This paper shows how a deep neural network-based approach can allow us to obtain accurate information for understanding the behavior of the visitor alone or ...