Multi-store tracker (muster): A cognitive psychology inspired approach to object tracking
Variations in the appearance of a tracked object, such as changes in geometry/photometry,
camera viewpoint, illumination, or partial occlusion, pose a major challenge to object …
camera viewpoint, illumination, or partial occlusion, pose a major challenge to object …
An overview and empirical comparison of distance metric learning methods
P Moutafis, M Leng, IA Kakadiaris - IEEE transactions on …, 2016 - ieeexplore.ieee.org
In this paper, we first offer an overview of advances in the field of distance metric learning.
Then, we empirically compare selected methods using a common experimental protocol …
Then, we empirically compare selected methods using a common experimental protocol …
Hyperspectral remote sensing image subpixel target detection based on supervised metric learning
The detection and identification of target pixels such as certain minerals and man-made
objects from hyperspectral remote sensing images is of great interest for both civilian and …
objects from hyperspectral remote sensing images is of great interest for both civilian and …
Interpreting the public sentiment variations on twitter
Millions of users share their opinions on Twitter, making it a valuable platform for tracking
and analyzing public sentiment. Such tracking and analysis can provide critical information …
and analyzing public sentiment. Such tracking and analysis can provide critical information …
Tracking via robust multi-task multi-view joint sparse representation
Z Hong, X Mei, D Prokhorov… - Proceedings of the IEEE …, 2013 - openaccess.thecvf.com
Combining multiple observation views has proven beneficial for tracking. In this paper, we
cast tracking as a novel multi-task multi-view sparse learning problem and exploit the cues …
cast tracking as a novel multi-task multi-view sparse learning problem and exploit the cues …
Pixeltrack: a fast adaptive algorithm for tracking non-rigid objects
In this paper, we present a novel algorithm for fast tracking of generic objects in videos. The
algorithm uses two components: a detector that makes use of the generalised Hough …
algorithm uses two components: a detector that makes use of the generalised Hough …
Efficient minimum error bounded particle resampling L1 tracker with occlusion detection
Recently, sparse representation has been applied to visual tracking to find the target with the
minimum reconstruction error from a target template subspace. Though effective, these L1 …
minimum reconstruction error from a target template subspace. Though effective, these L1 …
Robust fusion of color and depth data for RGB-D target tracking using adaptive range-invariant depth models and spatio-temporal consistency constraints
This paper presents a novel robust method for single target tracking in RGB-D images, and
also contributes a substantial new benchmark dataset for evaluating RGB-D trackers. While …
also contributes a substantial new benchmark dataset for evaluating RGB-D trackers. While …
Robust multitask multiview tracking in videos
X Mei, Z Hong, D Prokhorov… - IEEE transactions on …, 2015 - ieeexplore.ieee.org
Various sparse-representation-based methods have been proposed to solve tracking
problems, and most of them employ least squares (LSs) criteria to learn the sparse …
problems, and most of them employ least squares (LSs) criteria to learn the sparse …
BIT: Biologically inspired tracker
Visual tracking is challenging due to image variations caused by various factors, such as
object deformation, scale change, illumination change, and occlusion. Given the superior …
object deformation, scale change, illumination change, and occlusion. Given the superior …