We propose an automatic system which dynamically tracks video objects (human and
vehicle) and create their 3-D visualization from big visual data. Big visual data implies that …

This paper proposes a robust ground-moving-platform-based human tracking system, which
effectively integrates visual simultaneous localization and mapping (V-SLAM), human …

Multi-pedestrian and-vehicle tracking in aerial imagery has several critical applications,
including event monitoring, disaster management, predictive traffic, and transport efficiency …

In this paper, we propose a new framework to track on-road pedestrians across multiple
driving recorders. The framework is built upon the results of tracking under a single driving …

With the rapid development of autonomous driving, tracking on-road pedestrians raises
more attention in the public. Currently, most researches focus on single camera based …

Multipedestrian tracking in traffic scenes is challenging due to cluttered backgrounds and
serious occlusions. In this paper, we propose a layered graph model in image (RGB) and …

Aiming at the problems of frequent identity switches (IDs) and trajectory interruption of multi-
pedestrian tracking algorithms in dense scenes, this paper proposes a multi-pedestrian …

Multiple object tracking has attracted great interest in the computer vision community. Most
researchers focus on the applications under a single static or moving camera. In intelligent …

In the applications of video monitoring over large public or private spaces, multiple cameras
are required to cover the entire space and resolve the problems of occlusion, object …

This paper proposes a robust driving recorder based on-road pedestrian tracking system,
which effectively integrates Visual Simultaneous Localization And Mapping (V-SLAM) …