The nascent applicability of multi-camera tracking (MCT) in numerous real-world
applications makes it a significant computer vision problem. While visual tracking of objects …

The rapid increase in the volume of video data generated from edges in the Industrial
Internet of Things, opens up new possibilities for enhancing the application of video service …

Multi-object tracking (MOT) aims to associate target objects across video frames in order to
obtain entire moving trajectories. With the advancement of deep neural networks and the …

This paper proposes a knowledge-guided fashion network to solve the problem of visual
fashion analysis, eg, fashion landmark localization and clothing category classification. The …

This paper focuses on the Multi-Target Multi-Camera Tracking task (MTMCT), which aims at
tracking multiple targets within a multi-camera network. As the trajectory of each target is …

Abstract Multi-Camera Multi-Object Tracking (MC-MOT) utilizes information from multiple
views to better handle problems with occlusion and crowded scenes. Recently, the use of …

Abstract Multi-Camera Multiple Object Tracking (MC-MOT) is a significant computer vision
problem due to its emerging applicability in several real-world applications. Despite a large …

Multi-object tracking (MOT) is an essential task in the computer vision field. With the fast
development of deep learning technology in recent years, MOT has achieved great …

Abstract Multi-Camera Multi-Object Tracking is currently drawing attention in the computer
vision field due to its superior performance in real-world applications such as video …

In this paper, we propose a pose grammar to tackle the problem of 3D human pose
estimation from a monocular RGB image. Our model takes estimated 2D pose as the input …