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The Visual Object Tracking Vot2016 Challenge Results
(Springer International Publishing Ag, 2016)
The Visual Object Tracking challenge VOT2016 aims at comparing short-term single-object visual trackers that do not apply pre-learned models of object appearance. Results of 70 trackers are presented, with a large number ...
Automatic Description Generation from Images: A Survey of Models, Datasets, and Evaluation Measures
(Ai Access Foundation, 2016)
Automatic description generation from natural images is a challenging problem that has recently received a large amount of interest from the computer vision and natural language processing communities. In this survey, we ...
Visual Saliency Estimation By Nonlinearly Integrating Features Using Region Covariances
(Assoc Research Vision Ophthalmology Inc, 2013)
To detect visually salient elements of complex natural scenes, computational bottom-up saliency models commonly examine several feature channels such as color and orientation in parallel. They compute a separate feature ...
The Thermal Infrared Visual Object Tracking Vot-Tir2016 Challenge Results
(Springer International Publishing Ag, 2016)
The Thermal Infrared Visual Object Tracking challenge 2016, VOT-TIR2016, aims at comparing short-term single-object visual trackers that work on thermal infrared (TIR) sequences and do not apply pre-learned models of object ...
