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 …
Iterative scale-up expansioniou and deep features association for multi-object tracking in sports
Deep learning-based object detectors have driven notable progress in multi-object tracking
algorithms. Yet, current tracking methods mainly focus on simple, regular motion patterns in …
algorithms. Yet, current tracking methods mainly focus on simple, regular motion patterns in …
Enhancing multi-camera people tracking with anchor-guided clustering and spatio-temporal consistency ID re-assignment
Multi-camera multiple people tracking has become an increasingly important area of
research due to the growing demand for accurate and efficient indoor people tracking …
research due to the growing demand for accurate and efficient indoor people tracking …
Multi-Camera Multi-Vehicle Tracking Guided by Highway Overlapping FoVs
H Zhang, R Fang, S Li, Q Miao, X Fan, J Hu, S Chan - Mathematics, 2024 - mdpi.com
Multi-Camera Multi-Vehicle Tracking (MCMVT) is a critical task in Intelligent Transportation
Systems (ITS). Differently to in urban environments, challenges in highway tunnel MCMVT …
Systems (ITS). Differently to in urban environments, challenges in highway tunnel MCMVT …