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» A probabilistic framework for object recognition in video
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UIST
2004
ACM
14 years 1 months ago
Video-based document tracking: unifying your physical and electronic desktops
This paper presents an approach for tracking paper documents on the desk over time and automatically linking them to the corresponding electronic documents using an overhead video...
Jiwon Kim, Steven M. Seitz, Maneesh Agrawala
ICASSP
2010
IEEE
13 years 8 months ago
Camera-based clear path detection
In using image analysis to assist a driver to avoid obstacles on the road, traditional approaches rely on various detectors designed to detect different types of objects. We propo...
Qi Wu, Wende Zhang, Tsuhan Chen, B. V. K. Vijaya K...
CVPR
2008
IEEE
14 years 9 months ago
Learning class-specific affinities for image labelling
Spectral clustering and eigenvector-based methods have become increasingly popular in segmentation and recognition. Although the choice of the pairwise similarity metric (or affin...
Dhruv Batra, Rahul Sukthankar, Tsuhan Chen
ROMAN
2007
IEEE
131views Robotics» more  ROMAN 2007»
14 years 2 months ago
Real-time acoustic source localization in noisy environments for human-robot multimodal interaction
— Interaction between humans involves a plethora of sensory information, both in the form of explicit communication as well as more subtle unconsciously perceived signals. In ord...
Vlad M. Trifa, Ansgar Koene, Jan Morén, Gor...
CVIU
2006
162views more  CVIU 2006»
13 years 7 months ago
Unsupervised scene analysis: A hidden Markov model approach
This paper presents a new approach to scene analysis, which aims at extracting structured information from a video sequence using directly low-level data. The method models the se...
Manuele Bicego, Marco Cristani, Vittorio Murino