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The Visual Object Tracking VOT2014 Challenge Results
A challenge dataset for visual object tracking. -
Visual Tracking Benchmark
The Visual Tracking Benchmark (VTB) is a collection of 50 videos. -
Source code for the proposed CNT
The source code will be made available to the public. -
CVPR2013 tracking benchmark dataset and code library
The CVPR2013 tracking benchmark dataset and code library, which includes 29 trackers and 50 fully-annotated videos (more than 29,000 frames). -
OTB-100 and OTB-50 datasets
The OTB-100 and OTB-50 datasets are used in the experiments to evaluate the performance of the Convolutional Regression framework for visual tracking. -
Convolutional Regression for Visual Tracking
The Convolutional Regression framework for visual tracking is proposed in this paper. The framework uses a single convolution layer to learn a regression model for visual tracking. -
VOT2015 / VOT2017
The VOT2015/VOT2017 datasets are used for visual tracking evaluation. -
OTB-2013 / OTB-2015
The OTB-2013/OTB-2015 datasets are used for visual tracking evaluation. -
OTB-2013 / OTB-2015 / VOT2015 / VOT2017
Visual tracking is one of the most fundamental topics in computer vision. It has great demands in many public occasions such as surveillance system, self-driving cars, etc. -
Visual Object Tracking VOT2016 Challenge Results
The visual object tracking vot2016 challenge results -
Visual Object Tracking VOT2015 Challenge Results
The visual object tracking vot2015 challenge results -
Object Tracking Benchmark
The OTB100 dataset is an extension of the OTB50 dataset, containing 100 videos with 1000 frames each. -
High Performance Visual Object Tracking with Uniļ¬ed Convolutional Networks
Visual object tracking is a fundamental problem in many aspects such as visual analysis, automatic driving, pose tracking, robotics, and more. -
OTB100, VOT2016 and VOT2017
The dataset used in the paper is the OTB100, VOT2016 and VOT2017 datasets for visual tracking. -
TrackingNet
The TrackingNet dataset is a benchmark for visual tracking, containing 511 video sequences with varying difficulties.
