TRACKING MULTIPLE OBJECTS USING MOVING SNAKES

被引：0

作者：

De Vylder, Jonas ^{[1
]}

Ochoa, Daniel ^{[1
,2
]}

Philips, Wilfried ^{[1
]}

Chaerle, Laury ^{[3
]}

Van Der Straeten, Dominique ^{[3
]}

机构：

[1] Univ Ghent, IBBT Image Proc & Interpretat Grp, Dept Telecommun & Informat Proc, St Pietersnieuwstr 41, B-9000 Ghent, Belgium

[2] Escuela Super Politcn Litoral ESPOL, Fac Ingn Elect Computacin, Guayaquil 09015863, Ecuador

[3] Univ Ghent, Unit Plant Hormone Signalling & Bioimaging, Dept Physiol, B-9000 Ghent, Belgium

来源：

2009 16TH INTERNATIONAL CONFERENCE ON DIGITAL SIGNAL PROCESSING, VOLS 1 AND 2 | 2009年

关键词：

Tracking; Active Contours; Segmentation; Rigid Body; Multiple Objects; EXTERNAL FORCE; SHAPE; MODEL;

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Active contours or snakes are widely used for segmentation and tracking. The ability of a snake to track an object depends on the movement of the object. If the object moves too far from one frame to another, the snake risks losing the true contour location. The subsequent evolution steps are negatively affected, reporting a false contour that can propagate to other frames. To overcome this problem a new snake algorithm has been developed. This new technique, moving snakes, works in two steps. During the fist step, the snake is translated as a rigid body towards the contour. This translation is calculated using the external force field of the image, therefore it does not require prior knowledge about the object movement. In the second step the actual shape evolution of the snake takes place.

引用

页码：966 / +

页数：4

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