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» Detection and Tracking of Facial Features in Video Sequences
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PAMI
2008
302views more  PAMI 2008»
14 years 9 months ago
Learning to Detect Moving Shadows in Dynamic Environments
We propose a novel adaptive technique for detecting moving shadows and distinguishing them from moving objects in video sequences. Most methods for detecting shadows work in a stat...
Ajay J. Joshi, Nikolaos Papanikolopoulos
MVA
2010
181views Computer Vision» more  MVA 2010»
14 years 8 months ago
Human action detection via boosted local motion histograms
This paper presents a novel learning method for human action detection in video sequences. The detecting problem is not limited in controlled settings like stationary background or...
Qingshan Luo, Xiaodong Kong, Guihua Zeng, Jianping...
ICCV
2011
IEEE
13 years 9 months ago
Learning Universal Multi-view Age Estimator by Video Contexts
Most existing techniques for analyzing face images assume that the faces are at near-frontal poses. Generalizing to non-frontal faces is often difficult, due to a dearth of groun...
Zheng Song, Bingbing Ni, Dong Guo, Terence Sim, Sh...
PR
2008
218views more  PR 2008»
14 years 9 months ago
Automatic feature localisation with constrained local models
We present an efficient and robust method of locating a set of feature points in an object of interest. From a training set we construct a joint model of the appearance of each fe...
David Cristinacce, Timothy F. Cootes
IROS
2007
IEEE
189views Robotics» more  IROS 2007»
15 years 3 months ago
Person following with a mobile robot using binocular feature-based tracking
Abstract— We present the Binocular Sparse Feature Segmentation (BSFS) algorithm for vision-based person following with a mobile robot. BSFS uses Lucas-Kanade feature detection an...
Zhichao Chen, Stanley T. Birchfield