Title :
Automatic detection of dining plates in digital video
Author :
Nie, Jie ; Fernstrom, John D. ; Sclabassi, Robert J. ; Fernstrom, Madelyn H. ; Wei, Zhiqiang ; Li, Lu ; Zhang, Weidong ; Jia, Wenyan ; Mao, Zhi-Hong ; Sun, Mingui
Author_Institution :
Dept. of Comput. Sci., Ocean Univ. of China, Qingdao, China
Abstract :
An efficient approach to detect and localize dining plates in images and videos based on human vision is reported in this paper. Rapid processing is achieved by using random checkpoints on edges only, simulating the knowledge based target search in biological visual systems. A new grouping algorithm based on convexity is presented for a top-down segmentation of candidate objects. Our experiments demonstrate the effectiveness of the new approach.
Keywords :
image segmentation; medical image processing; pattern recognition; vision; automatic detection; biological visual systems; digital video; dining plates; human vision; pattern recognition; random checkpoints; top-down segmentation; Biology computing; Computer vision; Humans; Image edge detection; Image segmentation; Pixel; Shape; Support vector machine classification; Support vector machines; Visual system;
Conference_Titel :
Bioengineering Conference, Proceedings of the 2010 IEEE 36th Annual Northeast
Conference_Location :
New York, NY
Print_ISBN :
978-1-4244-6879-9
DOI :
10.1109/NEBC.2010.5458190
