Software for Visual Insect Tracking Based on F-transform Pattern Matching

被引：0

作者：

Hurtik, Petr ^{[1
]}

Ciz, David ^{[2
]}

Kalab, Oto ^{[3
]}

Musiolek, David ^{[3
]}

Kocarek, Petr ^{[3
]}

Tomis, Martin ^{[4
]}

机构：

[1] Univ Ostrava, CEIT4I, IRAFM, Ostrava, Czech Republic

[2] Univ Ostrava, Dept Informat & Comp, Ostrava, Czech Republic

[3] Univ Ostrava, Dept Biol & Ecol, Ostrava, Czech Republic

[4] VSB TU Ostrava, Dept Telecommun, Ostrava, Czech Republic

来源：

2018 IEEE SECOND INTERNATIONAL CONFERENCE ON DATA STREAM MINING & PROCESSING (DSMP) | 2018年

关键词：

Gryllus Assimilis; insect tracking; visual tracking; F-transform; pattern matching; 4k movie;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

We introduce a problem of tracking small animals, especially insects. To solve this problem, we focus on visual tracking in recorded movies, propose our pattern tracking mechanism based on F-transform, and implement a user-friendly software to handle the movies. The tracking core is compared with five state-of-the-art tracking algorithms: KCF, MIL, TLD, Boosting and MedianFlow from processing time and algorithm failure rate point of views. Based on the results computed from 1000 movie frames, we observed that the proposed F-transform tracking core is the fastest and the most reliable method.

引用

页码：528 / 533

页数：6

共 16 条

[1]

[Anonymous], 2006, BMVC06

[2]

[Anonymous], 2006, P 2006 IEEE COMP SOC

[3]

Babenko B, 2009, PROC CVPR IEEE, P983, DOI 10.1109/CVPRW.2009.5206737

[4] Adaptive Color Attributes for Real-Time Visual Tracking [J].