Traditionally, vehicle tracking is accomplished using predeployed video camera networks,
which relies on stationary cameras and searches for the target vehicle from videos. In this …

This paper proposes CrowdTracker, a novel object tracking system based on mobile crowd
sensing (MCS). Different from traditional video-based object tracking approaches …

Nowadays, GPS and other global navigation satellite systems (GNSSs) have been widely
developed, enabling accurate and convenient outdoor location-based services for vehicles …

Mobile crowdsensing is an emerging paradigm that selects users to complete sensing tasks.
Recently, mobile vehicles are adopted to perform sensing data collection tasks in the urban …

Mobile crowdsensing systems aim to provide various novel applications by employing
pervasive smartphones. A key factor to enable such systems is substantial participation of …

State-of-the-art multi-object tracking (MOT) methods follow the tracking-by-detection
paradigm, where object trajectories are obtained by associating per-frame outputs of object …

Average travel speed for road sections is important information for traffic condition
evaluation, transportation management, and so on. Vehicular crowdsensing can be used to …

Tracking pedestrians is a vital component of many computer vision applications, including
surveillance, scene understanding, and behavior analysis. Videos of crowded scenes …

Mobile crowdsensing serves as a critical building block for emerging Internet of Things (IoT)
applications. However, the sensing devices continuously generate a large amount of data …

Vehicle counting from an unmanned aerial vehicle (UAV) is becoming a popular research
topic in traffic monitoring. Camera mounted on UAV can be regarded as a visual sensor for …