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» Reducing drift in differential tracking
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ECCV
2004
Springer
14 years 8 months ago
3D Human Body Tracking Using Deterministic Temporal Motion Models
Abstract. There has been much effort invested in increasing the robustness of human body tracking by incorporating motion models. Most approaches are probabilistic in nature and se...
Raquel Urtasun, Pascal Fua
SSIAI
2002
IEEE
13 years 11 months ago
Active Contours for Cell Tracking
This paper introduces an active contour or snakebased method for tracking cells within a video sequence. Specifically, we apply our cell tracking techniques to rolling leukocytes ...
Nilanjan Ray, Scott T. Acton
NIPS
2007
13 years 7 months ago
People Tracking with the Laplacian Eigenmaps Latent Variable Model
Reliably recovering 3D human pose from monocular video requires models that bias the estimates towards typical human poses and motions. We construct priors for people tracking usi...
Zhengdong Lu, Miguel Á. Carreira-Perpi&ntil...
CVPR
2006
IEEE
14 years 8 months ago
BoostMotion: Boosting a Discriminative Similarity Function for Motion Estimation
Motion estimation for applications where appearance undergoes complex changes is challenging due to lack of an appropriate similarity function. In this paper, we propose to learn ...
Shaohua Kevin Zhou, Bogdan Georgescu, Dorin Comani...
ROBOCUP
2007
Springer
159views Robotics» more  ROBOCUP 2007»
14 years 12 days ago
High Accuracy Navigation in Unknown Environment Using Adaptive Control
Aiming to reduce cycle time and improving the accuracy on tracking, a modified adaptive control was developed, which adapts autonomously to changing dynamic parameters. The platfor...
Fernando Ribeiro, Ivo Moutinho, Nino Pereira, Fern...