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» Motion Detection using a Model of Visual Attention
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NIPS
2001
15 years 5 months ago
Unsupervised Learning of Human Motion Models
This paper presents an unsupervised learning algorithm that can derive the probabilistic dependence structure of parts of an object (a moving human body in our examples) automatic...
Yang Song, Luis Goncalves, Pietro Perona
CIVR
2010
Springer
247views Image Analysis» more  CIVR 2010»
14 years 11 months ago
Coherent bag-of audio words model for efficient large-scale video copy detection
Current content-based video copy detection approaches mostly concentrate on the visual cues and neglect the audio information. In this paper, we attempt to tackle the video copy d...
Yang Liu, Wanlei Zhao, Chong-Wah Ngo, Changsheng X...
CA
2003
IEEE
15 years 9 months ago
Modeling Hair Using Level-of-Detail Representations
: We present a novel approach for modeling hair using level-of-detail representations. The set of representations include individual strands, hair clusters, and hair strips. They a...
Kelly Ward, Ming C. Lin, Joohi Lee, Susan Fisher, ...
ICPR
2010
IEEE
15 years 2 months ago
Track Initialization in Low Frame Rate and Low Resolution Videos
The problem of object detection and tracking has received relatively less attention in low frame rate and low resolution videos. Here we focus on motion segmentation in videos whe...
Naresh P. Cuntoor, Arslan Basharat, A. G. Amitha P...
DCC
2007
IEEE
16 years 4 months ago
A Stochastic Model for Video and its Information Rates
We propose a stochastic model for video and compute its information rates. The model has two sources of information representing ensembles of camera motion and visual scene data (...
Arthur L. da Cunha, Minh N. Do, Martin Vetterli