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ICPR
2006
IEEE
16 years 26 days ago
An integrated Monte Carlo data association framework for multi-object tracking
We propose a sequential Monte Carlo data association algorithm based on a two-level computational framework for tracking varying number of interacting objects in dynamic scene. Fi...
Jianru Xue, Nanning Zheng, Xiaopin Zhong
TVCG
2002
99views more  TVCG 2002»
14 years 11 months ago
Lagrangian-Eulerian Advection of Noise and Dye Textures for Unsteady Flow Visualization
A new hybrid scheme (LEA) that combines the advantages of Eulerian and Lagrangian frameworks is applied to the visualization of dense representations of time-dependent vector field...
Bruno Jobard, Gordon Erlebacher, M. Yousuff Hussai...
CVPR
2012
IEEE
13 years 2 months ago
Improving multi-target tracking via social grouping
We address the problem of multi-person dataassociation-based tracking (DAT) in semi-crowded environments from a single camera. Existing trackletassociation-based methods using pur...
Zhen Qin, Christian R. Shelton
77
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ICIP
2009
IEEE
16 years 25 days ago
Robust Visual Tracking Based On Simplified Biologically Inspired Features
We address the problem of robust appearance-based visual tracking. First, a set of simplified biologically inspired features (SBIF) is proposed for object representation and the B...
ACMICEC
2006
ACM
120views ECommerce» more  ACMICEC 2006»
15 years 3 months ago
A semantic-based fully visual application for matchmaking and query refinement in B2C e-marketplaces
This paper presents a visual application in the framework of semantic-enabled e-marketplaces aimed at fully exploiting semantics of supply/demand descriptions in B2C and C2C e-mar...
Simona Colucci, Tommaso Di Noia, Eugenio Di Sciasc...