Abstract—This paper deals with an application of image sequence analysis. In particular, it addresses the problem of determining the number of people who get into and out of a train carriage when it’s crowded, and background and/or illumination changes. The proposed system analyzes image sequences and processes them using an algorithm based on the use of several morphological tools, which are presented in detail in the paper. Index Terms—Computer vision, morphological operations, people counting, real-time. I
The text feature is an important descriptive feature of many image analysis applications. Objectives...
University of Technology Sydney. Faculty of Engineering and Information Technology.As the population...
Real-time monitoring of crowded regions has crucial importance to avoid overload of people in certa...
International audienceWe propose a population counting method for feature fusion and edge detection....
In this paper we describe a system for automatic people counting in crowded environments. The approa...
A real-time visual surveillance system is based on three main image processing phases, devoted to ex...
In this paper, we present a system to detect and track crowds in an image sequence captured by a cam...
We present a bidirectional people counting system based on computer vision and propose solutions to ...
International audienceWe propose a crowd counting method for multisource feature fusion. Image featu...
Counting people is a common topic in the area of visual surveillance and crowd analysis. While many ...
In this paper, the approach used to estimate people number for planning purposes in DIMUS (ESPRIT pr...
The study of crowd counting could be considered an extension of object counting, an extensively stud...
The paper presents improvements for the existing crowd estimation algorithms to measure crowd densit...
The text feature is an important descriptive feature of many image analysis applications. Objectives...
Abstract—This paper proposes an image textural analytical method for estimating the crowd density an...
The text feature is an important descriptive feature of many image analysis applications. Objectives...
University of Technology Sydney. Faculty of Engineering and Information Technology.As the population...
Real-time monitoring of crowded regions has crucial importance to avoid overload of people in certa...
International audienceWe propose a population counting method for feature fusion and edge detection....
In this paper we describe a system for automatic people counting in crowded environments. The approa...
A real-time visual surveillance system is based on three main image processing phases, devoted to ex...
In this paper, we present a system to detect and track crowds in an image sequence captured by a cam...
We present a bidirectional people counting system based on computer vision and propose solutions to ...
International audienceWe propose a crowd counting method for multisource feature fusion. Image featu...
Counting people is a common topic in the area of visual surveillance and crowd analysis. While many ...
In this paper, the approach used to estimate people number for planning purposes in DIMUS (ESPRIT pr...
The study of crowd counting could be considered an extension of object counting, an extensively stud...
The paper presents improvements for the existing crowd estimation algorithms to measure crowd densit...
The text feature is an important descriptive feature of many image analysis applications. Objectives...
Abstract—This paper proposes an image textural analytical method for estimating the crowd density an...
The text feature is an important descriptive feature of many image analysis applications. Objectives...
University of Technology Sydney. Faculty of Engineering and Information Technology.As the population...
Real-time monitoring of crowded regions has crucial importance to avoid overload of people in certa...