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Informations générales |
| Auteur |
Cogun, Fuat; Cetin, Ahmet Enis |
| Publié |
InTech Open Access Publisher, 2013
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| Abstract |
Moving shadows constitute problems in various
applications such as image segmentation and object tracking.
The main cause of these problems is the misclassification of
the shadow pixels as target pixels. Therefore, the use of an
accurate and reliable shadow detection method is essential
to realize intelligent video processing applications. In this
paper, a cepstrum‐based method for moving shadow
detection is presented. The proposed method is tested on
outdoor and indoor video sequences using well‐known
benchmark test sets. To show the improvements over
previous approaches, quantitative metrics are introduced
and comparisons based on these metrics are made. |
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International Journal of Advanced Robotic Systems
Auteur: 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, [...]
Publié: 2004
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