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 :
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