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» Learning to Track with Multiple Observers
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AMFG
2003
IEEE
148views Biometrics» more  AMFG 2003»
14 years 1 months ago
Multi-Modal Face Tracking Using Bayesian Network
This paper presents a Bayesian network based multimodal fusion method for robust and real-time face tracking. The Bayesian network integrates a prior of second order system dynami...
Fang Liu, Xueyin Lin, Stan Z. Li, Yuanchun Shi
SPC
2005
Springer
14 years 1 months ago
On the Anonymity of Periodic Location Samples
As Global Positioning System (GPS) receivers become a common feature in cell phones, personal digital assistants, and automobiles, there is a growing interest in tracking larger us...
Marco Gruteser, Baik Hoh
AAAI
2008
13 years 10 months ago
Video Activity Recognition in the Real World
With recent advances in motion detection and tracking in video, more efforts are being directed at higher-level video analysis such as recognizing actions, events and activities. ...
Anthony Hoogs, A. G. Amitha Perera
ECCV
2010
Springer
14 years 24 days ago
Object, Scene and Actions: Combining Multiple Features for Human Action Recognition
Abstract. In many cases, human actions can be identified not only by the singular observation of the human body in motion, but also properties of the surrounding scene and the rel...
IJRR
2010
137views more  IJRR 2010»
13 years 6 months ago
Multiclass Multimodal Detection and Tracking in Urban Environments
This paper presents a novel approach to detect and track pedestrians and cars based on the combined information retrieved from a camera and a laser range scanner. Laser data points...
Luciano Spinello, Rudolph Triebel, Roland Siegwart