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

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 …

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 …

While people tracking has been greatly improved over the recent years, crowd scenes
remain particularly challenging for people tracking due to heavy occlusions, high crowd …

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

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

Tracking pedestrians in crowded scenes is a challenging task. Existing transformer-based
tracking methods integrate detection and tracking into a unified model, which simplifies the …

Abstract We address Multiple Object Tracking (MOT) in crowds, where the type of target
objects is generic and not limited to pedestrians as in most previous work. Following the …

Crowd tracking generates trajectories of a set of particles for further analysis of crowd motion
patterns. In this paper, we try to answer the following questions: what are the particles …

People tracking in crowded real-world scenes is challenging due to frequent and long-term
occlusions. Recent tracking methods obtain the image evidence from object (people) …