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CVIU
2006
162views more  CVIU 2006»
13 years 9 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
ICML
2009
IEEE
14 years 10 months ago
Learning dictionaries of stable autoregressive models for audio scene analysis
In this paper, we explore an application of basis pursuit to audio scene analysis. The goal of our work is to detect when certain sounds are present in a mixed audio signal. We fo...
Youngmin Cho, Lawrence K. Saul
CVPR
2010
IEEE
14 years 5 months ago
Tracking with Local Spatio-Temporal Motion Patterns in Extremely Crowded Scenes
Tracking individuals in extremely crowded scenes is a challenging task, primarily due to the motion and appearance variability produced by the large number of people within the sc...
Louis Kratz, Ko Nishino
ECCV
2008
Springer
14 years 11 months ago
Floor Fields for Tracking in High Density Crowd Scenes
Abstract. This paper presents an algorithm for tracking individual targets in high density crowd scenes containing hundreds of people. Tracking in such a scene is extremely challen...
Saad Ali, Mubarak Shah
ECCV
1990
Springer
14 years 11 months ago
Measurement and Integration of 3-D Structures By Tracking Edge Lines
This paper describes techniques for dynamically modeling the 2-D appearance and 3-D geometry of a scene by integrating information from a moving camera. These techniques are illus...
James L. Crowley, Patrick Stelmaszyk