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» A Multi-Layer MRF Model for Video Object Segmentation
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CVPR
2010
IEEE
13 years 7 months ago
Scene understanding by statistical modeling of motion patterns
We present a novel method for the discovery and statistical representation of motion patterns in a scene observed by a static camera. Related methods involving learning of pattern...
Imran Saleemi, Lance Hartung, Mubarak Shah
AMDO
2008
Springer
13 years 9 months ago
A Comparative Study on Using Zernike Velocity Moments and Hidden Markov Models for Hand Gesture Recognition
Hand-gesture recognition presents a challenging problem for computer vision due to the articulated structure of the human hand and the complexity of the environments in which it is...
Moaath Al-Rajab, David Hogg, Kia Ng
ICCV
2003
IEEE
14 years 9 months ago
Conditional Feature Sensitivity: A Unifying View on Active Recognition and Feature Selection
The objective of active recognition is to iteratively collect the next "best" measurements (e.g., camera angles or viewpoints), to maximally reduce ambiguities in recogn...
Xiang Sean Zhou, Dorin Comaniciu, Arun Krishnan
CVPR
2009
IEEE
1848views Computer Vision» more  CVPR 2009»
15 years 1 months ago
Moving Cast Shadow Detection using Physics-based Features
Cast shadows induced by moving objects often cause serious problems to many vision applications. We present in this paper an online statistical learning approach to model the backg...
Jia-Bin Huang and Chu-Song Chen
MM
2000
ACM
98views Multimedia» more  MM 2000»
13 years 12 months ago
Determining computable scenes in films and their structures using audio-visual memory models
In this paper we present novel algorithms for computing scenes and within-scene structures in films. We begin by mapping insights from film-making rules and experimental results f...
Hari Sundaram, Shih-Fu Chang