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ACCV
2006
Springer
15 years 3 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»
13 years 19 hour 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 11 months 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
83
Voted
IROS
2009
IEEE
195views Robotics» more  IROS 2009»
15 years 4 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»
14 years 9 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