Localizing Head and Shoulder Line Using Statistical Learning 


Vol. 32,  No. 2, pp. 141-149, Feb.  2007


PDF
  Abstract

Associating the shoulder line with head location of the human body is useful in verifying, localizing and tracking persons in an image. Since the head line and the shoulder line, what we call Ω-shape, move together in a consistent way within a limited range of deformation, we can build a statistical shape model using Active Shape Model (ASM). However, when the conventional ASM is applied to Ω-shape fitting, it is very sensitive to background edges and clutter because it relies only on the local edge or gradient. Even though appearance is a good alternative feature for matching the target object to image, it is difficult to learn the appearance of the Ω -shape because of the significant difference between people’s skin, hair and clothes, and because appearance does not remain the same throughout the entire video. Therefore, instead of learning appearance or updating appearance as it changes, we model the discriminative appearance where each pixel is classified into head, torso and background classes, and update the classifier to obtain the appropriate discriminative appearance in the current frame. Accordingly, we make use of two features in fitting Ω-shape, edge gradient which is used for localization, and discriminative appearance which contributes to stability of the tracker. The simulation results show that the proposed method is very robust to pose change, occlusion, and illumination change in tracking the head and shoulder line of people. Another advantage is that the proposed method operates in real time.

  Statistics
Cumulative Counts from November, 2022
Multiple requests among the same browser session are counted as one view. If you mouse over a chart, the values of data points will be shown.


  Cite this article

[IEEE Style]

M. Kwon, "Localizing Head and Shoulder Line Using Statistical Learning," The Journal of Korean Institute of Communications and Information Sciences, vol. 32, no. 2, pp. 141-149, 2007. DOI: .

[ACM Style]

Musik Kwon. 2007. Localizing Head and Shoulder Line Using Statistical Learning. The Journal of Korean Institute of Communications and Information Sciences, 32, 2, (2007), 141-149. DOI: .

[KICS Style]

Musik Kwon, "Localizing Head and Shoulder Line Using Statistical Learning," The Journal of Korean Institute of Communications and Information Sciences, vol. 32, no. 2, pp. 141-149, 2. 2007.

Search
(IN TITLE, AUTHOR, ABSTRACT,KEYWORDS)

Advanced Search ▼

POPULAR KEYWORDS
(TOP 10 KEYWORDS)

Recent Publications
(LAST 3 YEARS)






pISSN : 1226 - 4717
eISSN : 2287 - 3880