Texture feature is an important feature descriptor for many image analysis applications. The
objectives of this research are to determine distinctive texture features for crowd density …

According to the world health organization report, brain cancer has the highest death rate.
magnetic resonance imaging (MRI) for detecting brain tumours is adopted these days due to …

Crowd density classification has been a challenging task in the field of computer vision,
which has various applications in public and commercial domains. Many researches on the …

In the last few decades, crowd detection has gained much interest from the research
community to assist a variety of applications in surveillance systems. While human detection …

Algorithms that perform crowd estimation are dependent on crowd levels. The two
approaches to crowd estimation discussed are the model-based and texture-based …

Crowd density estimation in public areas with people gathering and waiting is the important
content of intelligent crowd surveillance. A real-time and high accuracy algorithm is …

We propose a population counting method for feature fusion and edge detection. The image
is extracted from multiple information sources to estimate the count by image feature …

Reliable and real-time crowd detection is one of the most important tasks in intelligent video
surveillance system. Previous works focus on counting the number of pedestrians in the …

The crowd counting task is an important research problem. Now more and more people are
concerned about safety issues. When the population density reaches a very high peak, the …

As the population of the world increases, urbanization generates crowding situations which
pose challenges to public safety, security and to the management of crowd. Manual analysis …