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» Tracking Multiple Objects through Occlusions
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KDD
2007
ACM
159views Data Mining» more  KDD 2007»
14 years 8 months ago
Domain-constrained semi-supervised mining of tracking models in sensor networks
Accurate localization of mobile objects is a major research problem in sensor networks and an important data mining application. Specifically, the localization problem is to deter...
Rong Pan, Junhui Zhao, Vincent Wenchen Zheng, Jeff...
HUC
2011
Springer
12 years 7 months ago
Mediated tabletop interaction in the biology lab: exploring the design space of the rabbit
Interactive surfaces like diffuse illumination tabletops (DIT) identify and track objects using multiple techniques like shape and color recognition, fiducial markers, electronic...
Juan David Hincapié-Ramos, Aurélien ...
PAMI
2010
265views more  PAMI 2010»
13 years 6 months ago
Motion Segmentation in the Presence of Outlying, Incomplete, or Corrupted Trajectories
—In this paper, we study the problem of segmenting tracked feature point trajectories of multiple moving objects in an image sequence. Using the affine camera model, this proble...
Shankar Rao, Roberto Tron, René Vidal, Yi M...
PSIVT
2007
Springer
239views Multimedia» more  PSIVT 2007»
14 years 1 months ago
People Counting in Low Density Video Sequences
This paper presents a novel approach for automatic people counting in videos captured through a conventional closed-circuit television (CCTV) using computer vision techniques. The ...
Jaime Dalla Valle, Luiz E. Soares de Oliveira, Ale...
ECCV
2008
Springer
14 years 9 months ago
Robust 3D Pose Estimation and Efficient 2D Region-Based Segmentation from a 3D Shape Prior
In this work, we present an approach to jointly segment a rigid object in a 2D image and estimate its 3D pose, using the knowledge of a 3D model. We naturally couple the two proces...
Samuel Dambreville, Romeil Sandhu, Anthony J. Yezz...