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08.11.2018 · Object tracking in the wild is far from being solved. Existing object trackers do quite a good job on the established datasets (e.g., VOT, OTB), but these datasets are relatively small and do not fully represent the challenges of real-life tracking tasks. Deep learning is at the core of the most state-of-the-art trackers today.

CDTB: A Color and Depth Visual Object Tracking Dataset and Benchmark Alan Lukeziˇ cˇ1, Ugur Kart2, Jani Kapyl¨ ¨a2, Ahmed Durmush2, Joni-Kristian Kam¨ ¨ar ainen¨ 2, Jiˇr´ı Matas 3 and Matej Kristan1 1Faculty of Computer and Information Science, University of Ljubljana, Slovenia 2Computing Sciences, Tampere University, Finland 3Faculty of Electrical Engineering, Czech …

19.11.2018 · Object tracking in the wild is far from being solved. Existing object trackers do quite a good job on the established datasets (e.g., VOT, …

TAO is a federated dataset for Tracking Any Object, containing 2,907 high resolution videos, captured in diverse environments, which are half a minute long ...

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The object tracking benchmark consists of 21 training sequences and 29 test ... JRMOT: A Real-Time 3D Multi-Object Tracker and a New Large-Scale Dataset.

Object Tracking Datasets. Numerous datasets are available for object track-ing, the most common ones being OTB [49], VOT [25], ALOV300 [43] and TC128 [33] for single-object tracking and MOT [28,35] for multi-object track-ing. VIVID [5] is an early attempt to build a tracking dataset for surveillance purposes.

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Introduction

Object Tracking. 288 papers with code • 1 benchmarks • 32 datasets. Object tracking is the task of taking an initial set of object detections, ...

Nov 19, 2018 · TrackingNet is a first large-scale dataset for object tracking in the wild. It includes over 30K videos with an average duration of 16.6s and more than 14M dense bounding box annotations.

As a matter of fact, data-hungry trackers based on deep-learning currently rely on object detection datasets due to the scarcity of dedicated large-scale ...

TrackingNet is a first large-scale dataset for object tracking in the wild. It includes over 30K videos with an average duration of 16.6s and ...

1.2 Multiple Object Tracking¶ For the training and testing of multi object tracking task, one of the MOT Challenge datasets (e.g. MOT17) is needed, and CrowdHuman can be served as comlementary dataset. 1.3 Single Object Tracking¶

Understanding human-object interactions is fundamental in First Person Vision (FPV). Tracking algorithms which follow the objects manipulated by the camera ...

MS COCO is a large-scale object detection dataset that approaches three core analysis problems in scene recognition.

Multiple Object Tracking: Datasets, Benchmarks, Challenges and more.

Object Detection Datasets ... Roboflow hosts free public computer vision datasets in many popular formats (including CreateML JSON, COCO JSON, Pascal VOC XML, ...

TLP dataset consists of 50 long HD sequences (total 676,431 frames). Each sequence consists of a single object to be tracked, marked in the first frame. TinyTLP ...