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» A Probabilistic Background Model for Tracking
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ICMCS
2007
IEEE
124views Multimedia» more  ICMCS 2007»
15 years 4 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
15 years 4 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
61
Voted
ICPR
2004
IEEE
15 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
68
Voted
DAGM
2005
Springer
15 years 3 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
83
Voted
ICPR
2008
IEEE
15 years 11 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