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IEEE Transactions on Pattern Analysis and Machine Intelligence, ISSN 0162-8828, 09/2015, Volume 37, Issue 9, pp. 1834 - 1848
Journal Article
IEEE Transactions on Pattern Analysis and Machine Intelligence, ISSN 0162-8828, 07/2012, Volume 34, Issue 7, pp. 1409 - 1422
Journal Article
IEEE Transactions on Pattern Analysis and Machine Intelligence, ISSN 0162-8828, 10/2014, Volume 36, Issue 10, pp. 2002 - 2015
Journal Article
IEEE Transactions on Image Processing, ISSN 1057-7149, 04/2014, Volume 23, Issue 4, pp. 1639 - 1651
Journal Article
Journal Article
2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), ISSN 1063-6919, 06/2016, Volume 2016-, pp. 4303 - 4311
In recent years, several methods have been developed to utilize hierarchical features learned from a deep convolutional neural network (CNN) for visual... 
Benchmark testing | Visualization | Feature extraction | Target tracking | Correlation | Standards
Conference Proceeding
Journal Article
2011 International Conference on Computer Vision, ISSN 1550-5499, 11/2011, pp. 1323 - 1330
While numerous algorithms have been proposed for object tracking with demonstrated success, it remains a challenging problem for a tracker to handle large... 
Training | Visualization | Adaptation models | Feature extraction | Target tracking | Computational modeling
Conference Proceeding
IEEE Transactions on Pattern Analysis and Machine Intelligence, ISSN 0162-8828, 03/2015, Volume 37, Issue 3, pp. 583 - 596
Journal Article
2012 IEEE Conference on Computer Vision and Pattern Recognition, ISSN 1063-6919, 06/2012, pp. 1910 - 1917
Visual tracking of general objects often relies on the assumption that gradient descent of the alignment function will reach the global optimum. A common... 
Histograms | Target tracking | Smoothing methods | Convolution | Kernel | Standards
Conference Proceeding
IEEE Transactions on Image Processing, ISSN 1057-7149, 04/2017, Volume 26, Issue 4, pp. 1845 - 1858
Most existing tracking methods are direct trackers, which directly exploit foreground or/and background information for object appearance modeling and decide... 
Support vector machines | Training | Visualization | deep learning | Target tracking | Visual tracking | relative model | Machine learning | Robustness | ROBUST VISUAL TRACKING | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | OBJECT TRACKING | ENGINEERING, ELECTRICAL & ELECTRONIC | Occlusion | Target recognition | Tracking | Neural networks | Images | Artificial neural networks | Modelling
Journal Article
2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, ISSN 1063-6919, 06/2010, pp. 1269 - 1276
We propose a novel tracking algorithm that can work robustly in a challenging scenario such that several kinds of appearance and motion changes of an object... 
Algorithm design and analysis | Computer vision | Target tracking | Monte Carlo methods | Fuses | Lighting | Robustness | Photometry | Videos | Principal component analysis
Conference Proceeding
2008, Adaptive and learning systems for signal processing, communications, and control, ISBN 0470149302, xii, 268
Fulvio Gini, PhD, IEEE Fellow, is a Full Professor at the University of Pisa, Italy. He was the technical program cochairman of the 2006 EURASIP Signal and... 
Waves & Wave Mechanics | Science | Tracking radar | Expert systems (Computer science) | Adaptive signal processing | Automatic tracking | Target acquisition
Book
IEEE Transactions on Pattern Analysis and Machine Intelligence, ISSN 0162-8828, 10/2016, Volume 38, Issue 10, pp. 2096 - 2109
Journal Article