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ICMCS
2007
IEEE
124views Multimedia» more  ICMCS 2007»
14 years 3 months ago
Robust Video Object Segmentation Based on K-Means Background Clustering and Watershed in Ill-Conditioned Surveillance Systems
A robust video object segmentation algorithm for complex conditions in surveillance systems is proposed in this paper. This algorithm contains an unsupervised K-Means background c...
Tse-Wei Chen, Shou-Chieh Hsu, Shao-Yi Chien
ICPR
2008
IEEE
14 years 3 months ago
Orientation and scale invariant mean shift using object mask-based kernel
In this paper, we propose a new method for object tracking based on mean shift algorithm using a kernel which has the shape of the target object, and with probabilistic estimation...
Kwang Moo Yi, Ho Seok Ahn, Jin Young Choi
ICPR
2004
IEEE
14 years 10 months ago
A Probabilistic Framework for Joint Head Tracking and Pose Estimation
Head Tracking and pose estimation are usually considered as two sequential and separate problems: pose is estimated on the head patch provided by a tracking module. However, preci...
Jean-Marc Odobez, Sileye O. Ba
DAGM
2005
Springer
14 years 2 months ago
Robust Head Detection and Tracking in Cluttered Workshop Environments Using GMM
Abstract. A vision based head tracking approach is presented, combining foreground information with an elliptical head model based on the integration of gradient and skin-color inf...
Alexander Barth, Rainer Herpers
ICPR
2008
IEEE
14 years 10 months ago
Probabilistic tracking on Riemannian manifolds
The covariance region descriptor recently proposed in [1] has been proved robust and versatile for a modest computational cost. The covariance matrix enables efficient fusion of d...
Bo Wu, Hanqing Lu, Jia Liu, Yi Wu