Basit öğe kaydını göster

dc.contributor Graduate Program in Systems and Control Engineering.
dc.contributor.advisor Sankur, Bülent.
dc.contributor.author Dicle, Çağlayan.
dc.date.accessioned 2023-03-16T11:34:45Z
dc.date.available 2023-03-16T11:34:45Z
dc.date.issued 2007.
dc.identifier.other SCO 2007 D52
dc.identifier.uri http://digitalarchive.boun.edu.tr/handle/123456789/15637
dc.description.abstract This thesis presents a hand detection and tracking system where hand is ini- tialized using the color clue and tracking is achieved with the integration of color and texture information. Three nonparametric skin classi cation schemes; histograms, kernel densities, voronoi tessellations are analyzed on six di erent colorspaces. The optimal fusion of color features is also investigated for illumination free skin classi cation. The texture and color cues are combined to track the hand through the course of action. Texture is de ned by Local Binary Patterns (LBP), which is a coarse estimation of joint probability of neighboring pixel values. By combining the color with texture more robust representation of hand is attained and meanshift algorithm is used to locate the hand in this representation space. The results show that texture-color combination can deal with face-hand overlaps and confusions of hand with other skin colored regions..
dc.format.extent 30cm.
dc.publisher Thesis (M.S.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2007.
dc.relation Includes appendices.
dc.relation Includes appendices.
dc.subject.lcsh Human-computer interaction.
dc.subject.lcsh Human-machine systems.
dc.title Hand tracking
dc.format.pages xii, 66 leaves;


Bu öğenin dosyaları

Bu öğe aşağıdaki koleksiyon(lar)da görünmektedir.

Basit öğe kaydını göster

Dijital Arşivde Ara


Göz at

Hesabım