Redirigiendo al acceso original de articulo en 24 segundos...
Inicio  /  Applied Sciences  /  Vol: 12 Par: 10 (2022)  /  Artículo
ARTÍCULO
TITULO

Application of Convolutional Neural Networks in Visual Feedback of Movable Camera Mounting Control

Rafal Mateusz Sobanski    
Marta Drazkowska    
Maciej Papis and Agata Stankiewicz    

Resumen

The aim of this work is to present an automatic solution to control the surveillance camera merely by the movements of the operator?s head. The method uses convolutional neural networks that work in a course-to-fine manner to estimate head orientation in image data. First, the image frame of the operator?s head is acquired from the camera on the operator?s side of the system. The exact position of a head, given by its bounding box, is estimated by a Multitask Cascaded Convolutional Network. Second, the customized network for a given scenario is used to classify the orientation of the head-on image data. In particular, the dedicated image dataset was collected for training purposes and was given a discrete set of possible orientations in the vertical and horizontal planes. The accuracy of the estimators is higher than 80%" role="presentation" style="position: relative;">80%80% 80 % , with an average of 4.12" role="presentation" style="position: relative;">4.124.12 4.12 fps of validation time. Finally, the current head orientation data are converted into a control signal for two degrees of freedom surveillance camera mounting. The feedback response time is 1.5" role="presentation" style="position: relative;">1.51.5 1.5 s, which is sufficient for most real-life surveillance applications.

 Artículos similares

       
 
Chengyang Peng, Shaohua Jin, Gang Bian, Yang Cui and Meina Wang    
The scarcity and difficulty in acquiring Side-scan sonar target images limit the application of deep learning algorithms in Side-scan sonar target detection. At present, there are few amplification methods for Side-scan sonar images, and the amplificatio... ver más

 
Ana Corceiro, Nuno Pereira, Khadijeh Alibabaei and Pedro D. Gaspar    
The global population?s rapid growth necessitates a 70% increase in agricultural production, posing challenges exacerbated by weed infestation and herbicide drawbacks. To address this, machine learning (ML) models, particularly convolutional neural netwo... ver más
Revista: Algorithms

 
Malinka Ivanova, Gabriela Grosseck and Carmen Holotescu    
The penetration of intelligent applications in education is rapidly increasing, posing a number of questions of a different nature to the educational community. This paper is coming to analyze and outline the influence of artificial intelligence (AI) on ... ver más
Revista: Informatics

 
Fumin Zou, Yue Xing, Qiang Ren, Feng Guo, Zhaoyi Zhou and Zihan Ye    
With the wide application of Electronic Toll Collection (ETC) systems, the effectiveness of the operation and maintenance of gantry equipment still need to be improved. This paper proposes a dynamic anomaly detection method for gantry transactions, utili... ver más
Revista: Applied Sciences

 
Li Zou, Haowen Cheng and Qianhui Sun    
Wind turbine blades are readily damaged by the workplace environment and frequently experience flaws such as surface peeling and cracking. To address the problems of cumbersome operation, high cost, and harsh application conditions with traditional damag... ver más
Revista: Applied Sciences