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Paper:IMDSP-P11.8
Session:Video Analysis
Time:Friday, May 21, 09:30 - 11:30
Presentation: Poster
Topic: Image and Multidimensional Signal Processing: Image and Video Analysis
Title: DENSITY PROPAGATION FOR TRACKING INITIALIZATION WITH MULTIPLE CUES
Authors: Cheng Chang; University of Illinois at Chicago 
 Rashid Ansari; University of Illinois at Chicago 
 Ashfaq Khokhar; University of Illinois at Chicago 
Abstract: The paper presents an automatic initialization procedure forvisual tracking of human motion. Instead of relying merely onlow-level image features to give a single estimate of the initialhuman posture, the system seeks to find a set of samples thatcarries multiple hypotheses of the pose. By accumulating different image cues in the first 3-15 consecutive frames and combining dynamic information regarding human motion, the system builds a human body model for the person to be tracked from a video sequence and produces a sample set as an estimate of the posterior distribution of the initial posture. The sample set provides a good starting point for tracking with sequential Monte Carlo methods.
 
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