Title :
Clothing Identification Based on Edge Information
Author :
Kim, Ku-Jin ; Park, Sun-Mi ; Choi, Yoo-Joo
Author_Institution :
Dept. of Comput. Eng., Kyungpook Nat. Univ., Daegu
Abstract :
In this paper, we suggest a method to identify the clothing as one approach for identifying a person in the grayscale image captured by a CCTV camera. We use the edge information of the clothing area for extracting the textural feature of the clothing. The edge filter is applied to the clothing area, and the histograms on the edge values are constructed. The feature vector is composed from the histograms. We used Euclidean distance as a similarity measure between feature vectors, and successfully identified the clothing with 77.8% of success rate.
Keywords :
closed circuit television; clothing; edge detection; feature extraction; image colour analysis; image texture; vectors; video surveillance; CCTV camera; Euclidean distance; clothing identification; edge filter; feature vector; grayscale image; histograms; similarity measurement; textural feature extraction; Cameras; Clothing; Color; Elevators; Filters; Gray-scale; Histograms; Image analysis; Pixel; Surveillance; cloth identification; color analysis; texture analysis;
Conference_Titel :
Asia-Pacific Services Computing Conference, 2008. APSCC '08. IEEE
Conference_Location :
Yilan
Print_ISBN :
978-0-7695-3473-2
Electronic_ISBN :
978-0-7695-3473-2
DOI :
10.1109/APSCC.2008.205
