Crowd counting is a very challenging task in crowded scenes due to heavy occlusions,
appearance variations and perspective distortions. Current crowd counting methods …

Vision-based automatic counting of people has widespread applications in intelligent
transportation systems, security, and logistics. However, there is currently no large-scale …

People counting is one of the key components in video surveillance applications, however,
due to occlusion, illumination, color and texture variation, the problem is far from being …

In this paper we present a vision based method for counting the number of persons which
cross a virtual line. The method analyzes the video stream acquired by a camera mounted in …

Based on the rapid increase in the demand for people counting and tracking systems for
surveillance applications, there is a critical need for more accurate, efficient, and reliable …

In this paper we describe a system for the automatic detection of multiple people in a scene,
by only using depth information provided by a Time of Flight (ToF) camera placed in …

People counting has a wide range of applications in the context of pervasive systems. These
applications range from efficient allocation of resources in smart buildings to handling …

Real-time accurate crowd counting is one of important tasks in intelligent visual surveillance
systems. Most previous works can only count passing people robustly without heavy …

This paper proposes a deep learning-based method to detect multiple people from a single
overhead depth image with high precision. Our neural network, called DPDnet, is composed …

In this paper we present an innovative method for counting people from zenithal mounted
cameras. The proposed method is designed to be computationally efficient and able to …