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» Probabilistic Object Tracking Using Multiple Features
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ICMCS
2007
IEEE
173views Multimedia» more  ICMCS 2007»
15 years 8 months ago
Tracking Multiple Objects using Probability Hypothesis Density Filter and Color Measurements
Most methods for multiple object tracking in video represent the state of multi-objects in a high dimensional joint state space. This leads to high computational complexity. This ...
Nam Trung Pham, Weimin Huang, Sim Heng Ong
182
Voted
ICAPR
2009
Springer
14 years 11 months ago
Tracking Multiple Circular Objects in Video Using Helmholtz Principle
A novel algorithm is introduced to track multiple circular objects present in a video using Helmholtz perception principle. First, segmentation of circular objects in the video fra...
Snehasis Mukherjee, Dipti Prasad Mukherjee
MEMICS
2010
14 years 8 months ago
Simultaneous Tracking of Multiple Objects Using Fast Level Set-Like Algorithm
A topological flexibility of implicit active contours is of great benefit, since it allows simultaneous detection of several objects without any a priori knowledge about their num...
Martin Maska, Pavel Matula, Michal Kozubek
ICCV
2003
IEEE
16 years 3 months ago
Minimally-Supervised Classification using Multiple Observation Sets
This paper discusses building complex classifiers from a single labeled example and vast number of unlabeled observation sets, each derived from observation of a single process or...
Chris Stauffer
159
Voted
TROB
2002
244views more  TROB 2002»
15 years 1 months ago
Distributed surveillance and reconnaissance using multiple autonomous ATVs: CyberScout
The objective of the CyberScout project is to develop an autonomous surveillance and reconnaissance system using a network of all-terrain vehicles. In this paper, we focus on two f...
Mahesh Saptharishi, C. Spence Oliver, Christopher ...