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» People Tracking using Robust Motion Detection and Estimation
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ECCV
2008
Springer
14 years 9 months ago
Tracking of Abrupt Motion Using Wang-Landau Monte Carlo Estimation
Abstract. We propose a novel tracking algorithm based on the WangLandau Monte Carlo sampling method which efficiently deals with the abrupt motions. Abrupt motions could cause conv...
Junseok Kwon, Kyoung Mu Lee
ICPR
2004
IEEE
14 years 8 months ago
Probabilistic People Tracking for Occlusion Handling
This work presents a novel people tracking approach, able to cope with frequent shape changes and large occlusions. In particular, the tracks are described by means of probabilist...
Rita Cucchiara, Costantino Grana, Giovanni Tardini...
ECCV
2000
Springer
14 years 9 months ago
Stochastic Tracking of 3D Human Figures Using 2D Image Motion
A probabilistic method for tracking 3D articulated human figures in monocular image sequences is presented. Within a Bayesian framework, we define a generative model of image appea...
Hedvig Sidenbladh, Michael J. Black, David J. Flee...
ICIP
2001
IEEE
14 years 9 months ago
A robust motion detection and estimation filter for video signals
The problem of detecting areas of motion in video sequences and estimating parameters such as speed, direction and dynamics is addressed in many applications of image processing s...
Markus Latzel, John K. Tsotsos
AAAI
2008
13 years 10 months ago
Multimodal People Detection and Tracking in Crowded Scenes
This paper presents a novel people detection and tracking method based on a multi-modal sensor fusion approach that utilizes 2D laser range and camera data. The data points in the...
Luciano Spinello, Rudolph Triebel, Roland Siegwart