DocumentCode
3134488
Title
Robust kernel design for SSD tracker
Author
Sun, Yan ; Chen, Xi ; Lu, Qiyong
Author_Institution
E.E. Dept., Fudan Univ., Shanghai, China
fYear
2009
fDate
20-21 Sept. 2009
Firstpage
162
Lastpage
165
Abstract
SSD-based object tracking has shown its improved performance compared with mean-shift and many people have made further improvements based on it. However, how kernels should be designed to better cooperate with SSD metric and Newton-style iteration remains unsolved. Our work is to find out the underlying principles for SSD kernel design, which can help make the tracker more sensitive to the object movement and make the iteration have better onestep performance. We also create a new kernel called ¿QPeak¿ to demonstrate our theorems.
Keywords
Newton method; object detection; Newton-style iteration remains; SSD kernel design; SSD tracker; SSD-based object tracking; mean-shift; robust kernel design; Computational complexity; Histograms; Kernel; Optical filters; Particle tracking; Robustness; Shape; Stability; Sun; Target tracking; SSD; Tracking; design rules; kernel;
fLanguage
English
Publisher
ieee
Conference_Titel
Information, Computing and Telecommunication, 2009. YC-ICT '09. IEEE Youth Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4244-5074-9
Electronic_ISBN
978-1-4244-5076-3
Type
conf
DOI
10.1109/YCICT.2009.5382403
Filename
5382403
Link To Document