3 papers
cs.CV2026
Learning Association via Track-Detection Matching for Multi-Object Tracking
Momir AdžemoviÄ
Multi-object tracking aims to maintain object identities over time by associating detections across video frames. Two dominant paradigms exist in literature: tracking-by-detection…
cs.CV2025
Deep Learning-Based Multi-Object Tracking: A Comprehensive Survey from Foundations to State-of-the-Art
Momir AdžemoviÄ
Multi-object tracking (MOT) is a core task in computer vision that involves detecting objects in video frames and associating them across time. The rise of deep learning has signif…
cs.CV2024
Engineering an Efficient Object Tracker for Non-Linear Motion
Momir AdžemoviÄ, Predrag TadiÄ, Andrija PetroviÄ +1
The goal of multi-object tracking is to detect and track all objects in a scene while maintaining unique identifiers for each, by associating their bounding boxes across video fram…