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ECCV
2010
Springer
13 years 7 months ago
Object Segmentation by Long Term Analysis of Point Trajectories
Unsupervised learning requires a grouping step that defines which data belong together. A natural way of grouping in images is the segmentation of objects or parts of objects. Whi...
ICIP
2010
IEEE
13 years 2 months ago
Semi-automatic motion based segmentation using long term motion trajectories
Semi-automated object segmentation is an important step in the cinema post-production workflow. We propose a dense motion based segmentation process that employs sparse feature ba...
Gary Baugh, Anil C. Kokaram
ICCV
2011
IEEE
12 years 4 months ago
Object Segmentation in Video: A Hierarchical Variational Approach for Turning Point Trajectories into Dense Regions
Point trajectories have emerged as a powerful means to obtain high quality and fully unsupervised segmentation of objects in video shots. They can exploit the long term motion dif...
Peter Ochs, Thomas Brox
ICCV
2005
IEEE
13 years 10 months ago
Bi-Directional Tracking Using Trajectory Segment Analysis
In this paper, we present a novel approach to keyframe-based tracking, called bi-directional tracking. Given two object templates in the beginning and ending keyframes, the bi-dire...
Jian Sun, Weiwei Zhang, Xiaoou Tang, Heung-Yeung S...
DEXAW
2000
IEEE
165views Database» more  DEXAW 2000»
13 years 9 months ago
Summarizing Video Datasets in the Spatiotemporal Domain
In this paper we address the problem of analyzing and managing complex dynamic scenes captured in video. We present an approach to summarize video datasets by analyzing the trajec...
Anthony Stefanidis, Panos Partsinevelos, Peggy Ago...