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ACCV
2006
Springer
14 years 4 months ago
A Multiscale Co-linearity Statistic Based Approach to Robust Background Modeling
Background subtraction is an essential task in several static camera based computer vision systems. Background modeling is often challenged by spatio-temporal changes occurring due...
Prithwijit Guha, Dibyendu Palai, K. S. Venkatesh, ...
KDD
2012
ACM
183views Data Mining» more  KDD 2012»
12 years 1 months ago
Mining discriminative components with low-rank and sparsity constraints for face recognition
This paper introduces a novel image decomposition approach for an ensemble of correlated images, using low-rank and sparsity constraints. Each image is decomposed as a combination...
Qiang Zhang, Baoxin Li
CVPR
2007
IEEE
15 years 26 days ago
Thermal-Visible Video Fusion for Moving Target Tracking and Pedestrian Classification
The paper presents a fusion-tracker and pedestrian classifier for color and thermal cameras. The tracker builds a background model as a multi-modal distribution of colors and temp...
Alex Leykin, Yang Ran, Riad I. Hammoud
IROS
2009
IEEE
195views Robotics» more  IROS 2009»
14 years 5 months ago
Appearance contrast for fast, robust trail-following
— We describe a framework for finding and tracking “trails” for autonomous outdoor robot navigation. Through a combination of visual cues and ladar-derived structural inform...
Christopher Rasmussen, Yan Lu, Mehmet Kocamaz
AROBOTS
2002
113views more  AROBOTS 2002»
13 years 10 months ago
An Incremental Self-Deployment Algorithm for Mobile Sensor Networks
This paper describes an incremental deployment algorithm for mobile sensor networks. A mobile sensor network is a distributed collection of nodes, each of which has sensing, compu...
Andrew Howard, Maja J. Mataric, Gaurav S. Sukhatme