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Robust nucleus/cell detection and segmentation in digital pathology and microscopy images: a comprehensive review
Digital pathology and microscopy image analysis is widely used for comprehensive studies
of cell morphology or tissue structure. Manual assessment is labor intensive and prone to …
of cell morphology or tissue structure. Manual assessment is labor intensive and prone to …
Sparse coding based visual tracking: Review and experimental comparison
Recently, sparse coding has been successfully applied in visual tracking. The goal of this
paper is to review the state-of-the-art tracking methods based on sparse coding. We first …
paper is to review the state-of-the-art tracking methods based on sparse coding. We first …
Discriminative correlation filter with channel and spatial reliability
A Lukezic, T Vojir, L ˇCehovin Zajc… - Proceedings of the …, 2017 - openaccess.thecvf.com
Short-term tracking is an open and challenging problem for which discriminative correlation
filters (DCF) have shown excellent performance. We introduce the channel and spatial …
filters (DCF) have shown excellent performance. We introduce the channel and spatial …
Discriminative scale space tracking
M Danelljan, G Häger, FS Khan… - IEEE transactions on …, 2016 - ieeexplore.ieee.org
Accurate scale estimation of a target is a challenging research problem in visual object
tracking. Most state-of-the-art methods employ an exhaustive scale search to estimate the …
tracking. Most state-of-the-art methods employ an exhaustive scale search to estimate the …
A scale adaptive kernel correlation filter tracker with feature integration
Although the correlation filter-based trackers achieve the competitive results both on
accuracy and robustness, there is still a need to improve the overall tracking capability. In …
accuracy and robustness, there is still a need to improve the overall tracking capability. In …
A survey of sparse representation: algorithms and applications
Sparse representation has attracted much attention from researchers in fields of signal
processing, image processing, computer vision, and pattern recognition. Sparse …
processing, image processing, computer vision, and pattern recognition. Sparse …
Encoding color information for visual tracking: Algorithms and benchmark
While color information is known to provide rich discriminative clues for visual inference,
most modern visual trackers limit themselves to the grayscale realm. Despite recent efforts to …
most modern visual trackers limit themselves to the grayscale realm. Despite recent efforts to …
Online tracking by learning discriminative saliency map with convolutional neural network
We propose an online visual tracking algorithm by learning discriminative saliency map
using Convolutional Neural Network (CNN). Given a CNN pre-trained on a large-scale …
using Convolutional Neural Network (CNN). Given a CNN pre-trained on a large-scale …
Adaptive color attributes for real-time visual tracking
M Danelljan, F Shahbaz Khan… - Proceedings of the …, 2014 - openaccess.thecvf.com
Visual tracking is a challenging problem in computer vision. Most state-of-the-art visual
trackers either rely on luminance information or use simple color representations for image …
trackers either rely on luminance information or use simple color representations for image …
Online object tracking: A benchmark
Object tracking is one of the most important components in numerous applications of
computer vision. While much progress has been made in recent years with efforts on sharing …
computer vision. While much progress has been made in recent years with efforts on sharing …