Abstract Interest in Automatic People Counting (APC) for crowd detection and management
is rapidly growing. While a range of Internet of Things (IoT) sensors and systems exist, video …

Counting people is a basic operation in applications that include surveillance, marketing,
services, and others. Recently, computer vision techniques have emerged as a non …

Interacting with other roads users is a challenge for an autonomous vehicle, particularly in
urban areas. Existing vehicle systems behave in a reactive manner, warning the driver or …

Real time object detection and tracking are important and challenging tasks in many
computer vision applications such as video surveillance, robot navigation and vehicle …

To explore companion movement laws of different age groups and transfer rules of panic
emotion during evacuation at subway stations, evacuation groups of different ages were …

Una red inalámbrica es una red en la que dos o más terminales como computadores
portátiles, tablets, impresoras, celulares, etc. se pueden comunicar y establecer una …

People Counter based on video is an important field in a Computer Vision. When people
counter is implemented it may accompany by some problems. This paper proposed a …

This chapter presents an overview of the opportunities from video data available in
worldwide network cameras and a research tool, called CAM² (Continuous Analysis of Many …

In this paper, we introduce the Mask R-CNN, an object detection method based on deep
learning networks, to detect the number of pedestrians from surveillance video in the metro …

In this paper, an effective top-view people detection algorithm based on multiple subarea
models is proposed for smart home system. Conventional single model based detector is …