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» Tracking objects in video using motion and appearance models
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ICASSP
2009
IEEE
14 years 2 months ago
People location and orientation tracking in multiple views
This paper presents a multi-view approach to the tracking of people location and orientation. To achieve efficient and accurate likelihood evaluation, a novel likelihood computat...
Huan Jin, Gang Qian
AVSS
2006
IEEE
13 years 11 months ago
Classification-Based Likelihood Functions for Bayesian Tracking
The success of any Bayesian particle filtering based tracker relies heavily on the ability of the likelihood function to discriminate between the state that fits the image well an...
Chunhua Shen, Hongdong Li, Michael J. Brooks
CVPR
2001
IEEE
14 years 10 months ago
Tracking and Modeling Non-Rigid Objects with Rank Constraints
This paper presents a novel solution for flow-based tracking and 3D reconstruction of deforming objects in monocular image sequences. A non-rigid 3D object undergoing rotation and...
Lorenzo Torresani, Danny B. Yang, Eugene J. Alexan...
ICMCS
2006
IEEE
134views Multimedia» more  ICMCS 2006»
14 years 2 months ago
Motion Segmentation of 3D Video using Modified Shape Distribution
In this paper, temporal segmentation of 3D video based on motion analysis is presented. 3D video is a sequence of 3D models made for a real-world dynamic object. A modified shape ...
Toshihiko Yamasaki, Kiyoharu Aizawa
ICCV
2009
IEEE
1190views Computer Vision» more  ICCV 2009»
15 years 28 days ago
You'll never walk alone: modeling social behavior for multi-target tracking
Object tracking typically relies on a dynamic model to predict the object’s location from its past trajectory. In crowded scenarios a strong dynamic model is particularly impo...
S. Pellegrini, A. Ess, K. Schindler, L. van Gool