[HTML][HTML] Multi-camera multi-object tracking: a review of current trends and future advances

TI Amosa, P Sebastian, LI Izhar, O Ibrahim, LS Ayinla… - Neurocomputing, 2023 - Elsevier
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 …

City-scale multi-camera vehicle tracking guided by crossroad zones

C Liu, Y Zhang, H Luo, J Tang… - Proceedings of the …, 2021 - openaccess.thecvf.com
Abstract Multi-Target Multi-Camera Tracking has a wide range of applications and is the
basis for many advanced inferences and predictions. This paper describes our solution to …

Two stage multi-modal modeling for video interaction analysis in deep video understanding challenge

S Sun, X Xiong, Y Zheng - Proceedings of the 30th ACM International …, 2022 - dl.acm.org
Interaction understanding between different entities in human-centered movie video is
receiving more and more attention. Recently, a deep video understanding (DVU) task is …

An algorithm using YOLOv4 and DeepSORT for tracking vehicle speed on highway

PH Nguyen, MB Duy - Indonesian Journal of Electrical …, 2022 - section.iaesonline.com
Currently, expressways are increasingly developed and expanded. Several highways of
Vietnam allow vehicles to travel up to 120 kilometers per hour helping to transport goods …

[PDF][PDF] A simple baseline with cascade association for robust multi-objects tracking

J Tang, F Du, W Chen, H Luo… - CVPR RVSU …, 2021 - omnomnom.vision.rwth-aachen.de
This report describes our solution to the challenge on the workshop of Robust Video Scene
Understanding: Tracking and Video Segmentation (RobMOTS) at CVPR 2021. With given …

[PDF][PDF] Video object segmentation and tracking

P Voigtlaender - 2021 - d-nb.info
Abstract Video Object Segmentation (VOS) is the computer vision task of segmenting
generic objects in a video given their ground truth segmentation masks in the first frame …