Sciweavers

BMVC
2010
13 years 9 months ago
On-line Adaption of Class-specific Codebooks for Instance Tracking
Off-line trained class-specific object detectors are designed to detect any instance of the class in a given image or video sequence. In the context of object tracking, however, o...
Juergen Gall, Nima Razavi, Luc J. Van Gool
PAMI
2007
245views more  PAMI 2007»
13 years 11 months ago
Tracking People by Learning Their Appearance
—An open vision problem is to automatically track the articulations of people from a video sequence. This problem is difficult because one needs to determine both the number of p...
Deva Ramanan, David A. Forsyth, Andrew Zisserman
VLSISP
1998
161views more  VLSISP 1998»
13 years 11 months ago
Automatic Recognition of Human Walking in Monocular Image Sequences
Abstract. In numerous content-based video applications, it is important to extract from a video sequence a representation for humans in motion. This task is di cult, because humans...
Jia-Ching Cheng, José M. F. Moura
IVC
2007
138views more  IVC 2007»
13 years 11 months ago
Silhouette lookup for monocular 3D pose tracking
Computers should be able to detect and track the articulated 3-D pose of a human being moving through a video sequence. Incremental tracking methods often prove slow and unreliabl...
Nicholas R. Howe
JCM
2008
126views more  JCM 2008»
13 years 11 months ago
Video Quality Estimation for Mobile H.264/AVC Video Streaming
The scope of this paper is the estimation of subjective video quality for low-resolution video sequences as they are typical for mobile video streaming. Although the video quality ...
Michal Ries, Olivia Nemethova, Markus Rupp
IJCV
2006
110views more  IJCV 2006»
13 years 11 months ago
Multi-body Factorization with Uncertainty: Revisiting Motion Consistency
Dynamic analysis of video sequences often relies on the segmentation of the sequence into regions of consistent motions. Approaching this problem requires a definition of which mo...
Lihi Zelnik-Manor, Moshe Machline, Michal Irani
CVIU
2006
162views more  CVIU 2006»
13 years 11 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
NIPS
2000
14 years 26 days ago
Keeping Flexible Active Contours on Track using Metropolis Updates
Condensation, a form of likelihood-weighted particle filtering, has been successfully used to infer the shapes of highly constrained "active" contours in video sequences...
Trausti T. Kristjansson, Brendan J. Frey
VVG
2003
180views Computer Vision» more  VVG 2003»
14 years 26 days ago
Cartoon-Style Rendering of Motion from Video
The contribution of this paper is a novel non-photorealistic rendering (NPR) system capable of rendering motion within a video sequence in artistic styles. A variety of cartoon-st...
John P. Collomosse, Peter M. Hall
EVENT
2001
267views more  EVENT 2001»
14 years 27 days ago
View-Invariant Representation and Learning of Human Action
Automatically understanding human actions from video sequences is a very challenging problem. This involves the extraction of relevant visual information from a video sequence, re...
Cen Rao, Mubarak Shah