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CVPR
2011
IEEE
14 years 6 months ago
Extracting and Locating Temporal Motifs in Video Scenes Using a Hierarchical Non Parametric Bayesian Model
In this paper, we present an unsupervised method for mining activities in videos. From unlabeled video sequences of a scene, our method can automatically recover what are the recu...
Ré, mi Emonet, Jagannadan Varadarajan, Jean-Marc ...
JMM2
2006
219views more  JMM2 2006»
14 years 10 months ago
Fully Automatic Real-Time 3D Object Tracking using Active Contour and Appearance Models
This paper presents an efficient, robust and fully automatic real-time system for 3D object pose tracking in image sequences. The developed application integrates two main componen...
Giorgio Panin, Alois Knoll
TCSV
2008
297views more  TCSV 2008»
14 years 10 months ago
Activity Analysis, Summarization, and Visualization for Indoor Human Activity Monitoring
Abstract--In this work, we study how continuous video monitoring and intelligent video processing can be used in eldercare to assist the independent living of elders and to improve...
Zhongna Zhou, Xi Chen, Yu-Chia Chung, Zhihai He, T...
ECCV
2004
Springer
15 years 12 months ago
Automatic Non-rigid 3D Modeling from Video
We present a robust framework for estimating non-rigid 3D shape and motion in video sequences. Given an input video sequence, and a user-specified region to reconstruct, the algori...
Lorenzo Torresani, Aaron Hertzmann
ICIP
2004
IEEE
15 years 11 months ago
A motion field reconstruction scheme for smooth boundary video object segmentation
Motion segmentation is a classic and on-going research topic which is an important pre-stage for many video processes. The reliability of the motion field calculation directly dete...
Jean Gao, Ninad Thakoor, Sungyong Jung