Siammot: Siamese multi-object tracking
In this work, we focus on improving online multi-object tracking (MOT). In particular, we
propose a novel region-based Siamese Multi-Object Tracking network, which we name …
propose a novel region-based Siamese Multi-Object Tracking network, which we name …
Extendable multiple nodes recurrent tracking framework with RTU++
Recently, tracking-by-detection has become a popular paradigm in Multiple-object tracking
(MOT) for its concise pipeline. Many current works first associate the detections to form track …
(MOT) for its concise pipeline. Many current works first associate the detections to form track …
Recent advances in embedding methods for multi-object tracking: a survey
Multi-object tracking (MOT) aims to associate target objects across video frames in order to
obtain entire moving trajectories. With the advancement of deep neural networks and the …
obtain entire moving trajectories. With the advancement of deep neural networks and the …
Identity-quantity harmonic multi-object tracking
The data association problem of multi-object tracking (MOT) aims to assign IDentity (ID)
labels to detections and infer a complete trajectory for each target. Most existing methods …
labels to detections and infer a complete trajectory for each target. Most existing methods …
Occlusion-robust online multi-object visual tracking using a GM-PHD filter with CNN-based re-identification
NL Baisa - Journal of Visual Communication and Image …, 2021 - Elsevier
We propose a novel online multi-object visual tracker using a Gaussian mixture Probability
Hypothesis Density (GM-PHD) filter and deep appearance learning. The GM-PHD filter has …
Hypothesis Density (GM-PHD) filter and deep appearance learning. The GM-PHD filter has …
GLATrack: Global and Local Awareness for Open-Vocabulary Multiple Object Tracking
Open-vocabulary multi-object tracking (MOT) aims to track arbitrary objects encountered in
the real world beyond the training set. However, recent methods rely solely on instance-level …
the real world beyond the training set. However, recent methods rely solely on instance-level …
[图书][B] Video Object Segmentation: Tasks, Datasets, and Methods
This book provides a thorough overview of recent progress in video object segmentation,
providing researchers and industrial practitioners with thorough information on the most …
providing researchers and industrial practitioners with thorough information on the most …
HiEve Challenge on VOT
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Video Object Tracking
With the universal access of cameras in all kinds of devices (eg, mobile phones, surveillance
cameras, and in-vehicle cameras), video data has gone through an exponential increase …
cameras, and in-vehicle cameras), video data has gone through an exponential increase …