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ICCV
2009
IEEE
1190views Computer Vision» more  ICCV 2009»
16 years 2 months ago
You'll never walk alone: modeling social behavior for multi-target tracking
Object tracking typically relies on a dynamic model to predict the object’s location from its past trajectory. In crowded scenarios a strong dynamic model is particularly impo...
S. Pellegrini, A. Ess, K. Schindler, L. van Gool
FGCN
2008
IEEE
131views Communications» more  FGCN 2008»
15 years 4 months ago
Object Tracking of Mobile Robot Using Moving Color and Shape Information for the Aged Walking
A mobile robot with various types of sensors via ubiquitous networks is introduced. We designed a mobile robot composed of TCP/IP network, wireless camera and several sensors in a...
Sanghoon Kim, Sangmu Lee, Seungjong Kim
CIKM
2005
Springer
15 years 3 months ago
Query expansion using random walk models
It has long been recognized that capturing term relationships is an important aspect of information retrieval. Even with large amounts of data, we usually only have significant ev...
Kevyn Collins-Thompson, Jamie Callan

Publication
104views
15 years 11 months ago
Examining travel distances by walking and cycling, Montréal, Canada
Active transportation – especially walking and cycling – is undergoing a surge in popularity in urban planning and transportation circles as a solution to the environmental and...
Yasmin, F., Larsen, J. & El-Geneidy, A.
MVA
2002
186views Computer Vision» more  MVA 2002»
14 years 9 months ago
Identifying Body Parts of Multiple People in Multi-Camera Images
In order to track and recognize the movements of multiple people using multiple cameras, each person needs to be segmented and identified in the image of each camera. We propose a...
Masafumi Tominaga, Hitoshi Hongo, Hiroyasu Koshimi...