The 7th ai city challenge
Abstract The AI City Challenge's seventh edition emphasizes two domains at the intersection
of computer vision and artificial intelligence-retail business and Intelligent Traffic Systems …
of computer vision and artificial intelligence-retail business and Intelligent Traffic Systems …
Overlap suppression clustering for offline multi-camera people tracking
R Yoshida, J Okubo, J Fujii… - Proceedings of the …, 2024 - openaccess.thecvf.com
Abstract Multi-Camera People Tracking is a multifaceted issue that requires the integration
of several computer vision tasks such as Object Detection Multiple Object Tracking and …
of several computer vision tasks such as Object Detection Multiple Object Tracking and …
An online approach and evaluation method for tracking people across cameras in extremely long video sequence
Abstract Multi-camera Multi-Object Tracking has drawn significant attention in recent years
due to its critical role in surveillance analytics and related fields. Various challenges …
due to its critical role in surveillance analytics and related fields. Various challenges …
Sea you later: Metadata-guided long-term re-identification for uav-based multi-object tracking
Re-identification (ReID) in multi-object tracking (MOT) for UAVs in maritime computer vision
has been challenging for several reasons. More specifically, short-term re-identification …
has been challenging for several reasons. More specifically, short-term re-identification …
Online Multi-camera People Tracking with Spatial-temporal Mechanism and Anchor-feature Hierarchical Clustering
R Cherdchusakulchai, S Phimsiri… - Proceedings of the …, 2024 - openaccess.thecvf.com
Multi-camera Multi-object tracking (MTMC) surpasses conventional single-camera tracking
by enabling seamless object tracking across multiple camera views. This capability is critical …
by enabling seamless object tracking across multiple camera views. This capability is critical …