In this paper, we propose a people counting algorithm using an impulse radio ultra-
wideband radar sensor. The proposed algorithm is based on a strategy of understanding the …

In this paper, we propose system based on impulse radio ultra-wideband (IR-UWB) radar
sensors for counting multiple people passing through a passage or a wide door. The …

Counting challenging crowds from still images has a wide range of applications, such as
surveillance event detection, public safety control, traffic monitoring, and urban planning …

This letter mainly deals with the problem of counting moving human targets in an enclosed
building space for through-the-wall radar. Specifically, a typical deep convolutional neural …

Intelligent bus system plays a key role in the modern smart city. The number of passengers
in the buses or at the stations is necessary for making an optimal scheduling policy of public …

Multi-view video surveillance is a highly valuable tool to ensure the safety of the crowd in
large public space. By utilizing complementary information captured by multiple cameras …

This paper implements a real-time and directional counting algorithm using the Graphic
Processing Unit (GPU) Programming for the purpose of detecting and counting people. We …

Cross-scene counting is difficult if only limited training samples are available in the new
scene. In this paper, a cross-scene counting model is learned with information transferred …

This research employs a novel approach to headcounting by comparing the performance of
the ANN algorithm with that of the SVM algorithm. To determine how many individuals are …

In today's world data represented in the form of a video are prolific and has increased the
requisite of storage devices unconditionally. These video sets takes up a huge space for …