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ICMCS
2006
IEEE
194views Multimedia» more  ICMCS 2006»
13 years 10 months ago
Object Tracking in Compressed Video with Confidence Measures
In this paper, a novel robust tracking algorithm in compressed video is proposed. Within the framework of video compression standards, we consider how to accurately estimate motio...
Lan Dong, Imad Zoghlami, Stuart C. Schwartz
ISBI
2011
IEEE
12 years 8 months ago
Dynamic online registration guided collaborative tracking of lung tumor movement in fluoroscopic videos
Tracking of the lung tumor movement in fluoroscopic video sequences is clinically significant and challenging problem due to the blurred appearance, sternum occlusion, and compl...
Baiyang Liu, Lin Yang, Casimir A. Kulikowski, Leig...
CVPR
2009
IEEE
14 years 11 months ago
Topology Dictionary with Markov Model for 3D Video Content-Based Skimming and Description
This paper presents a novel approach to skim and describe 3D videos. 3D video is an imaging technology which consists in a stream of 3D models in motion captured by a synchronized ...
Tony Tung (Kyoto University), Takashi Matsuyama (K...
JMM2
2007
183views more  JMM2 2007»
13 years 4 months ago
A Chaos Theoretic Analysis of Motion and Illumination in Video Sequences
— Accurate and robust image motion detection has been of substantial interest in the image processing and computer vision communities. Unfortunately, no single motion detection a...
Michael E. Farmer
PCI
2005
Springer
13 years 10 months ago
Unsupervised Learning of Multiple Aspects of Moving Objects from Video
A popular framework for the interpretation of image sequences is based on the layered model; see e.g. Wang and Adelson [8], Irani et al. [2]. Jojic and Frey [3] provide a generativ...
Michalis K. Titsias, Christopher K. I. Williams