Robust tracking via discriminative sparse feature selection

Verfasser / Beitragende:
[Jin Zhan, Zhuo Su, Hefeng Wu, Xiaonan Luo]
Ort, Verlag, Jahr:
2015
Enthalten in:
The Visual Computer, 31/5(2015-05-01), 575-588
Format:
Artikel (online)
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024 7 0 |a 10.1007/s00371-014-0984-8  |2 doi 
035 |a (NATIONALLICENCE)springer-10.1007/s00371-014-0984-8 
245 0 0 |a Robust tracking via discriminative sparse feature selection  |h [Elektronische Daten]  |c [Jin Zhan, Zhuo Su, Hefeng Wu, Xiaonan Luo] 
520 3 |a In this paper, we propose a novel generative tracking approach based on discriminative sparse feature selection. The sparse features are the discriminative sparse representation of samples, which are achieved by learning a compact and discriminative dictionary. Besides the target templates, the proposed approach also incorporates the close-background templates to approximate the partial variations. We learn the dictionary and a classifier together, and search the tracking result with the maximum similarity and the minimal reconstruction error criterion using the discrimination of sparse features. In addition, we resample the close-background templates and update the dictionary in an adaptive way during tracking. Experimental results on several challenging video sequences demonstrate that the proposed approach has more favorable performance than the state-of-the-art approaches. 
540 |a Springer-Verlag Berlin Heidelberg, 2014 
690 7 |a Object tracking  |2 nationallicence 
690 7 |a Sparse representation  |2 nationallicence 
690 7 |a Template dictionary  |2 nationallicence 
690 7 |a Discriminative sparse feature  |2 nationallicence 
700 1 |a Zhan  |D Jin  |u National Engineering Research Center of Digital Life, State-Province Joint Laboratory of Digital Home Interactive Applications, School of Information Science and Technology, Sun Yat-sen University, 510006, Guangzhou, China  |4 aut 
700 1 |a Su  |D Zhuo  |u National Engineering Research Center of Digital Life, State-Province Joint Laboratory of Digital Home Interactive Applications, School of Information Science and Technology, Sun Yat-sen University, 510006, Guangzhou, China  |4 aut 
700 1 |a Wu  |D Hefeng  |u National Engineering Research Center of Digital Life, State-Province Joint Laboratory of Digital Home Interactive Applications, School of Information Science and Technology, Sun Yat-sen University, 510006, Guangzhou, China  |4 aut 
700 1 |a Luo  |D Xiaonan  |u National Engineering Research Center of Digital Life, State-Province Joint Laboratory of Digital Home Interactive Applications, School of Information Science and Technology, Sun Yat-sen University, 510006, Guangzhou, China  |4 aut 
773 0 |t The Visual Computer  |d Springer Berlin Heidelberg  |g 31/5(2015-05-01), 575-588  |x 0178-2789  |q 31:5<575  |1 2015  |2 31  |o 371 
856 4 0 |u https://doi.org/10.1007/s00371-014-0984-8  |q text/html  |z Onlinezugriff via DOI 
898 |a BK010053  |b XK010053  |c XK010000 
900 7 |a Metadata rights reserved  |b Springer special CC-BY-NC licence  |2 nationallicence 
908 |D 1  |a research-article  |2 jats 
949 |B NATIONALLICENCE  |F NATIONALLICENCE  |b NL-springer 
950 |B NATIONALLICENCE  |P 856  |E 40  |u https://doi.org/10.1007/s00371-014-0984-8  |q text/html  |z Onlinezugriff via DOI 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Zhan  |D Jin  |u National Engineering Research Center of Digital Life, State-Province Joint Laboratory of Digital Home Interactive Applications, School of Information Science and Technology, Sun Yat-sen University, 510006, Guangzhou, China  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Su  |D Zhuo  |u National Engineering Research Center of Digital Life, State-Province Joint Laboratory of Digital Home Interactive Applications, School of Information Science and Technology, Sun Yat-sen University, 510006, Guangzhou, China  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Wu  |D Hefeng  |u National Engineering Research Center of Digital Life, State-Province Joint Laboratory of Digital Home Interactive Applications, School of Information Science and Technology, Sun Yat-sen University, 510006, Guangzhou, China  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Luo  |D Xiaonan  |u National Engineering Research Center of Digital Life, State-Province Joint Laboratory of Digital Home Interactive Applications, School of Information Science and Technology, Sun Yat-sen University, 510006, Guangzhou, China  |4 aut 
950 |B NATIONALLICENCE  |P 773  |E 0-  |t The Visual Computer  |d Springer Berlin Heidelberg  |g 31/5(2015-05-01), 575-588  |x 0178-2789  |q 31:5<575  |1 2015  |2 31  |o 371