Moving object tracking based on multi-independent features distribution fields with comprehensive spatial feature similarity

Verfasser / Beitragende:
[Zhiyong Li, Xiaoping Yu, Pengfei Li, Mervat Hashem]
Ort, Verlag, Jahr:
2015
Enthalten in:
The Visual Computer, 31/12(2015-12-01), 1633-1651
Format:
Artikel (online)
ID: 605540411
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024 7 0 |a 10.1007/s00371-014-1044-0  |2 doi 
035 |a (NATIONALLICENCE)springer-10.1007/s00371-014-1044-0 
245 0 0 |a Moving object tracking based on multi-independent features distribution fields with comprehensive spatial feature similarity  |h [Elektronische Daten]  |c [Zhiyong Li, Xiaoping Yu, Pengfei Li, Mervat Hashem] 
520 3 |a Obtaining the exact spatial information of moving objects is a crucial and difficult task during visual object tracking. In this study, a comprehensive spatial feature similarity (CSFS) strategy is proposed to compute the confidence level of target features. This strategy is used to determine the current position of the target among candidates during the tracking process. Given that the spatial information and appearance feature of an object should be considered simultaneously, the CSFS strategy offers the benefit of reliable tracking position decisions. Moreover, we propose an appearance-based multi-independent features distribution fields (MIFDFs) object representation model, which represents targets using spatial distribution fields with multiple features independently. This representation model can preserve a large amount of original spatial and feature data synthetically. Various experimental results show that the proposed method exhibits significant improvement in terms of tracking drift in complex scenes. In particular, the proposed approach outperforms other techniques in tracking robustness and accuracy in some challenging situations. 
540 |a Springer-Verlag Berlin Heidelberg, 2014 
690 7 |a Object tracking  |2 nationallicence 
690 7 |a Distribution fields  |2 nationallicence 
690 7 |a Multi-independent features  |2 nationallicence 
690 7 |a Spatial feature similarity  |2 nationallicence 
700 1 |a Li  |D Zhiyong  |u College of Computer Science and Electronic Engineering, Hunan University, 410082, Changsha, China  |4 aut 
700 1 |a Yu  |D Xiaoping  |u College of Computer Science and Electronic Engineering, Hunan University, 410082, Changsha, China  |4 aut 
700 1 |a Li  |D Pengfei  |u College of Computer Science and Electronic Engineering, Hunan University, 410082, Changsha, China  |4 aut 
700 1 |a Hashem  |D Mervat  |u College of Computer Science and Electronic Engineering, Hunan University, 410082, Changsha, China  |4 aut 
773 0 |t The Visual Computer  |d Springer Berlin Heidelberg  |g 31/12(2015-12-01), 1633-1651  |x 0178-2789  |q 31:12<1633  |1 2015  |2 31  |o 371 
856 4 0 |u https://doi.org/10.1007/s00371-014-1044-0  |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/s00371-014-1044-0  |q text/html  |z Onlinezugriff via DOI 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Li  |D Zhiyong  |u College of Computer Science and Electronic Engineering, Hunan University, 410082, Changsha, China  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Yu  |D Xiaoping  |u College of Computer Science and Electronic Engineering, Hunan University, 410082, Changsha, China  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Li  |D Pengfei  |u College of Computer Science and Electronic Engineering, Hunan University, 410082, Changsha, China  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Hashem  |D Mervat  |u College of Computer Science and Electronic Engineering, Hunan University, 410082, Changsha, China  |4 aut 
950 |B NATIONALLICENCE  |P 773  |E 0-  |t The Visual Computer  |d Springer Berlin Heidelberg  |g 31/12(2015-12-01), 1633-1651  |x 0178-2789  |q 31:12<1633  |1 2015  |2 31  |o 371