4 papers
UniTrack: Differentiable Graph Representation Learning for Multi-Object Tracking
Bishoy Galoaa, Xiangyu Bai, Utsav Nandi +3
We present UniTrack, a plug-and-play graph-theoretic loss function designed to significantly enhance multi-object tracking (MOT) performance by directly optimizing tracking-specifi…
Look Around and Pay Attention: Multi-camera Point Tracking Reimagined with Transformers
Bishoy Galoaa, Xiangyu Bai, Shayda Moezzi +4
This paper presents LAPA (Look Around and Pay Attention), a novel end-to-end transformer-based architecture for multi-camera point tracking that integrates appearance-based matchin…
Multiple Toddler Tracking in Indoor Videos
Somaieh Amraee, Bishoy Galoaa, Matthew Goodwin +2
Multiple toddler tracking (MTT) involves identifying and differentiating toddlers in video footage. While conventional multi-object tracking (MOT) algorithms are adept at tracking…
Challenges in Video-Based Infant Action Recognition: A Critical Examination of the State of the Art
Elaheh Hatamimajoumerd, Pooria Daneshvar Kakhaki, Xiaofei Huang +3
Automated human action recognition, a burgeoning field within computer vision, boasts diverse applications spanning surveillance, security, human-computer interaction, tele-health,…