computer-vision-12
Visual Object Tracking
3260 papers • 126 benchmarks • 313 datasets
Visual Object Tracking is an important research topic in computer vision, image understanding and pattern recognition. Given the initial state (centre location and scale) of a target in the first frame of a video sequence, the aim of Visual Object Tracking is to automatically obtain the states of the object in the subsequent video frames. Source: Learning Adaptive Discriminative Correlation Filters via Temporal Consistency Preserving Spatial Feature Selection for Robust Visual Object Tracking
(Image credit: Papersgraph)
Benchmarks
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VOT2017/18
VOT2017/18
TrackingNet
TrackingNet
OTB-2015
OTB-2015
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