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» Robust Model Based Motion Segmentation
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ICMCS
2007
IEEE
124views Multimedia» more  ICMCS 2007»
14 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
ICIP
2003
IEEE
14 years 11 months ago
Robust tracking of cyclic nonrigid motion
Cyclic motion underlies several human activities including exercising,running, and walking. Accurate tracking of such motion in video data helps in developing computer-aided appli...
Cheng Chang, Rashid Ansari, Ashfaq A. Khokhar
PSIVT
2009
Springer
187views Multimedia» more  PSIVT 2009»
14 years 4 months ago
Video-Based Motion Capturing for Skeleton-Based 3D Models
In this paper, a semi-automatic method to capture motion data from a single-camera video is proposed. The input video is first segmented and analyzed, and a 3D character model wit...
Liang-Yu Shih, Bing-Yu Chen, Ja-Ling Wu
CRV
2005
IEEE
219views Robotics» more  CRV 2005»
14 years 3 months ago
People Tracking using Robust Motion Detection and Estimation
Real world computer vision systems highly depend on reliable, robust retrieval of motion cues to make accurate decisions about their surroundings. In this paper, we present a simp...
Markus Latzel, Emilie Darcourt, John K. Tsotsos
ICPR
2000
IEEE
14 years 11 months ago
Motion Field Histograms for Robust Modeling of Facial Expressions
This paper presents motion field histograms as a new way of extracting facial features and modeling expressions. Feature are based on local receptive field histograms, which are r...
Tanzeem Choudhury, Alex Pentland