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CVIU
2006
222views more  CVIU 2006»
13 years 10 months ago
Conditional models for contextual human motion recognition
We present algorithms for recognizing human motion in monocular video sequences, based on discriminative Conditional Random Field (CRF) and Maximum Entropy Markov Models (MEMM). E...
Cristian Sminchisescu, Atul Kanaujia, Dimitris N. ...
ICRA
2010
IEEE
111views Robotics» more  ICRA 2010»
13 years 8 months ago
Improved Monte Carlo localization of autonomous robots through simultaneous estimation of motion model parameters
Abstract— In recent years, there has been an increasing interest in autonomous navigation for lightweight flying robots. With regard to self-localization flying robots have sev...
Jörg Müller 0004, Christoph Gonsior, Wol...
ICIP
2005
IEEE
14 years 12 months ago
Tracking objects in video using motion and appearance models
This paper proposes a visual tracking algorithm that combines motion and appearance in a statistical framework. It is assumed that image observations are generated simultaneously ...
Aswin C. Sankaranarayanan, Rama Chellappa, Qinfen ...
ICIP
2009
IEEE
14 years 11 months ago
Learning Local Models For 2d Human Motion Tracking
We present a novel approach to tracking 2D human motion in uncalibrated monocular videos. Human motion usually exhibits timevarying patterns, and we propose to use locally learnt ...
ICMCS
2006
IEEE
97views Multimedia» more  ICMCS 2006»
14 years 4 months ago
Fast Progressive Model Refinement Global Motion Estimation Algorithm with Prediction
Global Motion Estimation (GME) is an important part in the object-based applications. In this paper, a fast progressive model refinement (FPMR) GME algorithm is proposed. It can s...
Haifeng Wang, Jia Wang, Qingshan Liu, Hanqing Lu