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ICPR
2008
IEEE
14 years 2 months ago
Evaluation of clustering methods for finding dominant optical flow fields in crowded scenes
Video footage of real crowded scenes still poses severe challenges for automated surveillance. This paper evaluates clustering methods for finding independent dominant motion fi...
Günther Eibl, Norbert Brändle
IJCV
2010
362views more  IJCV 2010»
13 years 6 months ago
Tracking in a Dense Crowd Using Multiple Cameras
Abstract Tracking people in a dense crowd is a challenging problem for a single camera tracker due to occlusions and extensive motion that make human segmentation difficult. In th...
Ran Eshel, Yael Moses
ICCV
2007
IEEE
14 years 9 months ago
Real-Time Marker-free Motion Capture from multiple cameras
We present a fully-automated method for real-time and marker-free 3D human motion capture. The system computes the 3D shape of the person filmed from a synchronized camera set. We...
Brice Michoud, Erwan Guillou, Héctor M. Bri...
GW
2005
Springer
161views Biometrics» more  GW 2005»
14 years 1 months ago
Captured Motion Data Processing for Real Time Synthesis of Sign Language
Abstract. The work described in this abstract presents a roadmap towards the creation and specification of a virtual humanoid capable of performing expressive gestures in real tim...
Alexis Heloir, Sylvie Gibet, Franck Multon, Nicola...
AAAI
2008
13 years 10 months ago
Multimodal People Detection and Tracking in Crowded Scenes
This paper presents a novel people detection and tracking method based on a multi-modal sensor fusion approach that utilizes 2D laser range and camera data. The data points in the...
Luciano Spinello, Rudolph Triebel, Roland Siegwart