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» Using Optical Flow for Tracking
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ICPR
2002
IEEE
14 years 9 months ago
Using Normal Flow for Detection and Tracking of Limbs in Color Images
Humans are articulated objects composed of non-rigid parts. We are interested in detecting and tracking human motions over various periods of time. In this paper we describe a met...
Zoran Duric, Fayin Li, Yan Sun, Harry Wechsler
ICPR
2008
IEEE
14 years 10 months ago
Spatio-temporal 3D pose estimation and tracking of human body parts using the Shape Flow algorithm
In this contribution we introduce the Shape Flow algorithm (SF), a novel method for spatio-temporal 3D pose estimation of a 3D parametric curve. The SF is integrated into a tracki...
Markus Hahn, Lars Krüger, Christian Wöhl...
CVPR
2009
IEEE
1863views Computer Vision» more  CVPR 2009»
15 years 3 months ago
Abnormal Crowd Behavior Detection using Social Force Model
In this paper we introduce a novel method to detect and localize abnormal behaviors in crowd videos using Social Force model. For this purpose, a grid of particles is placed ove...
Alexis Oyama, Mubarak Shah, Ramin Mehran
AUGHUMAN
2011
13 years 3 months ago
"Vection field" for pedestrian traffic control
: Today in general traffic field, visual signs and audio cues are used for pedestrian control. As the pedestrians need to acquire and recognize them, time delay between cognition a...
Masahiro Furukawa, Hiromi Yoshikawa, Taku Hachisu,...
CVPR
2008
IEEE
14 years 3 months ago
Global data association for multi-object tracking using network flows
We propose a network flow based optimization method for data association needed for multiple object tracking. The maximum-a-posteriori (MAP) data association problem is mapped in...
Li Zhang, Yuan Li, Ramakant Nevatia