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cs.CV2024
VOVTrack: Exploring the Potentiality in Videos for Open-Vocabulary Object Tracking
Zekun Qian, Ruize Han, Junhui Hou +2
Open-vocabulary multi-object tracking (OVMOT) represents a critical new challenge involving the detection and tracking of diverse object categories in videos, encompassing both see…
cs.CV2024
OCTrack: Benchmarking the Open-Corpus Multi-Object Tracking
Zekun Qian, Ruize Han, Wei Feng +3
We study a novel yet practical problem of open-corpus multi-object tracking (OCMOT), which extends the MOT into localizing, associating, and recognizing generic-category objects of…
cs.CV2024
Unveiling the Power of Self-supervision for Multi-view Multi-human Association and Tracking
Wei Feng, Feifan Wang, Ruize Han +2
Multi-view multi-human association and tracking (MvMHAT), is a new but important problem for multi-person scene video surveillance, aiming to track a group of people over time in e…