ICIP 2006, Atlanta, GA

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Paper Detail

Session:Video Object Tracking
Time:Wednesday, October 11, 15:00 - 15:20
Presentation: Lecture
Topic: Image & Video Segmentation: Video object segmentation and tracking
Authors: Jie Shao; University of Maryland 
 Rama Chellappa; University of Maryland 
 Fatih Porikli; Mitsubishi Electric Research Labs 
Abstract: This paper presents an active contour based algorithm for tracking non-rigid objects in heavily cluttered scenes. We decompose the non-rigid contour tracking problem into three subproblems: 2D motion estimation, deformation detection, and shape regulation. First, we employ a particle filter to estimate the affine transform parameters between successive frames. Second, by using a dynamic object model, we generate a probabilistic map of deformation to reshape its contour. Finally, we project the updated model onto a trained shape subspace to constrain deformations to be within possible object appearances. Our experiments show that the proposed algorithm significantly improves the performance of tracking.