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» An Object Tracking Scheme Based on Local Density
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ICCV
2007
IEEE
15 years 11 months ago
Variational Segmentation using Fuzzy Region Competition and Local Non-Parametric Probability Density Functions
We describe a novel variational segmentation algorithm designed to split an image in two regions based on their intensity distributions. A functional is proposed to integrate the ...
Benoit Mory, Roberto Ardon, Jean-Philippe Thiran
67
Voted
TSP
2011
152views more  TSP 2011»
14 years 4 months ago
Road Intensity Based Mapping Using Radar Measurements With a Probability Hypothesis Density Filter
Abstract—Mapping stationary objects is essential for autonomous vehicles and many autonomous functions in vehicles. In this contribution the probability hypothesis density (PHD) ...
Christian Lundquist, Lars Hammarstrand, Fredrik Gu...
ICPR
2008
IEEE
15 years 10 months ago
Tracking features on a moving object using local image bases
This paper presents a new method for tracking feature points on the textureless surface of a moving object. We employ a local image basis as a descriptor of each point for dealing...
Atsuto Maki, Takashi Matsuyama, Yosuke Hatanaka
ECCV
2008
Springer
15 years 11 months ago
Floor Fields for Tracking in High Density Crowd Scenes
Abstract. This paper presents an algorithm for tracking individual targets in high density crowd scenes containing hundreds of people. Tracking in such a scene is extremely challen...
Saad Ali, Mubarak Shah
ICIP
1997
IEEE
15 years 11 months ago
Wavelet features for statistical object localization without segmentation
This paper describes a new technique for statistical 3{D object localization. Local feature vectors are extracted for all image positions, in contrast to segmentation in classical...
Heinrich Niemann, Josef Pösl