Robust pedestrian trajectory-tracking is an essential prerequisite to traffic accident
prevention. However, it is a challenging task in urban autonomous driving, since the weak …

Situation-aware technologies enabled by multitarget tracking will lead to new services and
applications in fields such as autonomous driving, indoor localization, robotic networks, and …

People counting systems are widely used in surveillance applications. In this paper, we
present a solution to bidirectional people counting based on information provided by an …

Mobile crowd sensing systems have been widely used in various domains but are currently
facing new challenges. On one hand, the increasingly complex services need a large …

Recent advancements in deep learning and machine learning have enabled exact people
counting in various applications including crowd management, security, and retail analytics …

We propose to leverage multiple sources of information to compute an estimate of the
number of individuals present in an extremely dense crowd visible in a single image. Due to …

This paper proposes a scalable approach for counting pedestrians crossing a virtual line
when the crowd is highly dynamic and possibly extremely dense. The approach mainly …

Crowd counting is very important in many tasks such as video surveillance, traffic
monitoring, public security, and urban planning, so it is a very important part of the intelligent …

This article proposes a novel ultralarge-scale crowd monitoring system, namely, the ULCM
system. The ULCM system enables advanced sensing and networking technologies aimed …

Crowdsensing systems collect large-scale sensor data from mobile devices to provide a
wide-area view of phenomena including traffic, noise and air pollution. Because such data …