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Features and Regression Techniques for Crowd Density Estimation: A Comparison
Crowd density estimation is an important problem for the security applications and it is a regression task consisting of feature extraction and regression steps. In this paper, we compare different features and regression ...
Real-time Implementation of Image Based PLC Control for a Robotic Platform
In this study, image based real-time control of a linear robotic platform was performed. This robotic platform is used to determine the location of the mushroom and to direct the linear platform to the detected position ...
Multi-Image Crowd Density Estimation using Multi Column Deep Neural Network
(Institute of Electrical and Electronics Engineers Inc., 2020)
Crowd density estimation is a challenging problem for security applications which is a regression task consisting of feature extraction and regression steps. In this paper, multicolumn deep neural networks (MDNN) is proposed ...
Multi-image Crowd Counting Using Multi-column Convolutional Neural Network
Crowd density estimation is an important task for security applications. It is a regression problem consisting of feature extraction and estimation steps. In this study, we propose to use a modified version of previously ...