Open document
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General information |
| Author |
Whoang, Inteck; Kim, Jeong Heon; Choi, Kwang Nam |
| Published |
InTech Open Access Publisher, 2012
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| Abstract |
This paper presents a new method for
tracking moving objects that have colour variations
due to illumination, which uses a maximum colour
distance on the mean shift framework. Conventional
colour‐based mean shift methods show good results
when tracking non‐rigid moving objects. However,
they do not provide accurate results when the initial
colour distribution of the object disappears. Our
method uses the maximum colour distance to
represent the objects. If a colour distance can be
defined as the geometric distance between two colour
points in a colour space, then the maximum colour
distance is defined as the maximum value among all of
the colour distances. The physical illumination model,
under assumptions, guarantees that the maximum
colour distance is independent of ambient lighting and
other illumination with an identical solid angle. The
objective of our method is to provide robust real‐time
object tracking with large colour variation in objects
whose colour changes due to external illumination.
The implementation of this new algorithm shows
effective tracking results with a complete object colour
change over time. The validation of our approach is
illustrated by the comparison of experimental results
obtained using the methods described above. |
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International Journal of Advanced Robotic Systems
Author: Ottaviano, Erika; Ceccarelli, Marco; Husty, Manfred; Yu, Sung-Hoon; Kim, Yong-Tae; Park, Chang-Woo; Hyun, Chang-Ho; Chen, Xiulong; Feng, Weiming; Sun, Xianyang; Gao, Qing; Grigorescu, Sorin M.; Pozna, Claudiu; Liu, Wanli; Zhankui, Wang; Guo, Meng; Fu, Guoyu; Zhang, Jin; Chen, Wenyuan; Peng, Fengchao; Yang, Pei; Chen, Chunlin; Ding, Rui; Yu, Junzhi; Yang, Qinghai; Tan, Min; Polden, Joseph; Pan, [...]
Published: 2004
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