Object Tracking

Object tracking is the task of taking an initial set of object detections, creating a unique ID for each of the initial detections, and then tracking each of the objects as they move around frames in a video, maintaining the ID assignment.


Fast Online Object Tracking and Segmentation: A Unifying Approach
We illustrate how to perform both realtime object tracking and semi-supervised video object segmentation using a fully-convolutional Siamese approach.
object-tracking image-segmentation siamese-networks convolutional-neural-networks
TAO: A Large-Scale Benchmark for Tracking Any Object
A diverse dataset for Tracking Any Object (TAO) consisting of 2,907 high resolution videos, captured in diverse environments, which are half a minute long ...
object-tracking dataset benchmark tao
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