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ICPR
2002
IEEE
16 years 7 months ago
Interacting Multiple Model (IMM) Kalman Filters for Robust High Speed Human Motion Tracking
Accurate and robust tracking of humans is of growing interest in the image processing and computer vision communities. The ability of a vision system to track the subjects and acc...
Michael E. Farmer, Rein-Lien Hsu, Anil K. Jain
ISRR
2001
Springer
109views Robotics» more  ISRR 2001»
15 years 11 months ago
Probabilistic Adaptive Agent Based System for Dynamic State Estimation using Multiple Visual Cues
Most of current machine vision systems suffer from a lack of flexibility to account for the high variability of unstructured environments. Here, as the state of the world evolves ...
Alvaro Soto, Pradeep K. Khosla
IROS
2008
IEEE
167views Robotics» more  IROS 2008»
16 years 25 days ago
Active rough shape estimation of unknown objects
— This paper presents a method to determine the rough shape of an object. This is a step in the development of a ”One Click Grasping Tool”, a grasping tool of everyday-life o...
Claire Dune, Éric Marchand, Christophe Coll...
ICPR
2004
IEEE
16 years 7 months ago
Novel Seed Selection for Multiple Objects Detection and Tracking
This paper proposes a unified approach for initializing, detecting and tracking of multiple moving objects. Object initialization is achieved through novel seed selection which is...
Chong-Wah Ngo, Zailiang Pan
ICPR
2010
IEEE
15 years 4 months ago
Cross Entropy Optimization of the Random Set Framework for Multiple Instance Learning
Abstract--Multiple instance learning (MIL) is a recently researched technique used for learning a target concept in the presence of noise. Previously, a random set framework for mu...
Jeremy Bolton, Paul D. Gader