Browse > Article

Person Identification based on Clothing Feature  

Choi, Yoo-Joo (Dept. of Newmedia, Korean German Institute of Technology)
Park, Sun-Mi (School of EECS, Kyungpook National University Division of Electrical)
Cho, We-Duke (Division of Electrical & Computer Engineering, Ajou University)
Kim, Ku-Jin (Dept. of Computer Engineering, Kyungpook National University)
Publication Information
Journal of the Korea Computer Graphics Society / v.16, no.1, 2010 , pp. 1-7 More about this Journal
Abstract
With the widespread use of vision-based surveillance systems, the capability for person identification is now an essential component. However, the CCTV cameras used in surveillance systems tend to produce relatively low-resolution images, making it difficult to use face recognition techniques for person identification. Therefore, an algorithm is proposed for person identification in CCTV camera images based on the clothing. Whenever a person is authenticated at the main entrance of a building, the clothing feature of that person is extracted and added to the database. Using a given image, the clothing area is detected using background subtraction and skin color detection techniques. The clothing feature vector is then composed of textural and color features of the clothing region, where the textural feature is extracted based on a local edge histogram, while the color feature is extracted using octree-based quantization of a color map. When given a query image, the person can then be identified by finding the most similar clothing feature from the database, where the Euclidean distance is used as the similarity measure. Experimental results show an 80% success rate for person identification with the proposed algorithm, and only a 43% success rate when using face recognition.
Keywords
person identification; clothing feature; color; texture; image analysis; surveillance system;
Citations & Related Records
연도 인용수 순위
  • Reference
1 J. Yang, D. Zhang, A. F. Frangi and J. Y. Yang, 'Two-Dimensional PCA:A New Approach to Appearance-Based Face Representation and Recognition," IEEE Trans. on PAMl, 26(1), pp. 131-137,2004.   DOI   ScienceOn
2 W. Zhao, R. Chellappa, P. j. Phillips and A. Rosenfeld. "Face Recognition: A Literature Survey," ACM Computing Survey, 35(4), pp. 399-458, 2003.   DOI   ScienceOn
3 S. Zhou, V. Krueger and R. Chellappa. "Probabilistic Recognition of Human Faces from Video," Computer Vision and Image Understanding, 91(1-2), pp. 214-245, 2003.   DOI   ScienceOn
4 M. S. Lew, N. Sebe, C. Djeraba and R. Jain. "Content-based Multimedia Information Retrieval: State of the Art and Challenges," ACM Transactions on Multimedia Computing, Communications & Applications, 2(1), pp. 1-19,2006.   DOI
5 D. Ramanan, D. A, Forsyth and A, Zisserman. 'Tracking People by Learning Their Appearance," IEEE Transactions on Pattern Analysis and Machine Intelligence, 29(1), pp. 65-81, 2007.   DOI
6 M. J. Swain and D. H. Ballard. "Color Indexing," International Journal of Computer Vision, 7(1), pp. 11-32, 1991.   DOI
7 Y. Freund and R. E. Schapire. "Decision-theoretic Generalization of Online Learning and an Application to Boosting, " In Computational Learning Theory: Eurocolt'95, pp. 23-37, 1995.
8 F. Tous, A. Borras, R. Benavente, R. Baldrich, M. Vanrel and J. Llads. "Textual Descriptors for Browsing People by Visual Appearance," Lecture Notes in Computer Science, 2504, pp. 419-429, 2002.
9 J. Z. Wang, J. Li and G. Wiederhold. "Simplicity: Semantics-sensitive Integrated Matching for Picture Libraries," IEEE Transactions on Pattern Analysis and Machine Intelligence, 23(9), pp. 947-963, 2001.   DOI   ScienceOn
10 Y. J. Choi, K. J. Kim and W. D. Cho. "Grid-based Approach for Detecting Head and Hand Regions," In Proc. of ICIC 2007, CClS 2. pp. 1126-1132, 2007.
11 M. Gervautz and W. Purgathofer. "A Simple Method for Color Quantization: Octree Quantization," Graphics Gems, Morgan Kaufmann, 1990.
12 A, Gorras, F. Tous, J. Llads and M. Vanrell. "High-level Clothes Description Based on Color-texture and Structural Features," Lecture Notes in Computer Science, 2652, pp. 108-116, 2003
13 X. Hongli, X. De and G. Yong. "Region-based Image Retrieval Using Color Coherence Region Vectors," In Proc. of the 7th International Conference on Signal Processing, pp. 761-764, 2004.
14 K. J. Kim, S. M. Park and Y. J. Choi, "Clothing Identification Based on Edge Information," In Proc. of APSCC, IEEE Asia-Pacific Services Computing Conference, pp.876-880, 2008.
15 N. W. Kim, T. Y. Kim and J. S. Choi. "Edge-based Spatial Descriptor for Content-based Image Retrieval," Lecture Notes in Computer Science, 3568, pp. 454-464, 2005.
16 D. Anguelov, K. Lec, S. B. Gokturk and B. Sumengen, "Contextual Identity Recognition in Personal Photo Albums," In Proc. of IEEE CVPR, pp. 1-7, 2007.