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SSPR
2004
Springer
15 years 6 months ago
Learning People Movement Model from Multiple Cameras for Behaviour Recognition
Abstract. In surveillance systems for monitoring people behaviour, it is imporant to build systems that can adapt to the signatures of the people tasks and movements in the environ...
Nam Thanh Nguyen, Svetha Venkatesh, Geoff A. W. We...
ICRA
2005
IEEE
162views Robotics» more  ICRA 2005»
15 years 6 months ago
Learning to Track Multiple People in Omnidirectional Video
— Meetings are a very important part of everyday life for professionals working in universities, companies or governmental institutions. We have designed a physical awareness sys...
Fernando De la Torre, Carlos Vallespí, Paul...
IVC
2008
135views more  IVC 2008»
15 years 1 months ago
Multi-modal tracking of people using laser scanners and video camera
Inspite extensive research on visual tracking of multiple people in computer vision area, the robustness and usability of visual trackers are still discouraging. Recently, a few l...
Jinshi Cui, Hongbin Zha, Huijing Zhao, Ryosuke Shi...
ICCV
2003
IEEE
16 years 3 months ago
Counting People in Crowds with a Real-Time Network of Simple Image Sensors
Estimating the number of people in a crowded environment is a central task in civilian surveillance. Most vision-based counting techniques depend on detecting individuals in order...
Danny B. Yang, Héctor H. González-Ba...
IROS
2006
IEEE
155views Robotics» more  IROS 2006»
15 years 7 months ago
Multiple Hypothesis Tracking of Clusters of People
— Mobile robots operating in populated environments typically can improve their service and navigation behavior when they know where people are in their vicinity and in which dir...
Manuel Mucientes, Wolfram Burgard