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97
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ICCV
2009
IEEE
16 years 5 months ago
Tracking in Unstructured Crowded Scenes
This paper presents a target tracking framework for unstructured crowded scenes. Unstructured crowded scenes are defined as those scenes where the motion of a crowd appears to b...
Mikel Rodriguez, Saad Ali, Takeo Kanade
ICCV
2007
IEEE
16 years 2 months ago
A Homographic Framework for the Fusion of Multi-view Silhouettes
This paper presents a purely image-based approach to fusing foreground silhouette information from multiple arbitrary views. Our approach does not require 3D constructs like camer...
Saad M. Khan, Pingkun Yan, Mubarak Shah
ICCV
1999
IEEE
16 years 2 months ago
Segmentation using Eigenvectors: A Unifying View
Automatic grouping and segmentation of images remains a challenging problem in computer vision. Recently, a number of authors have demonstrated good performance on this task using...
Yair Weiss
ECCV
2004
Springer
16 years 2 months ago
Weak Hypotheses and Boosting for Generic Object Detection and Recognition
In this paper we describe the first stage of a new learning system for object detection and recognition. For our system we propose Boosting [5] as the underlying learning technique...
Andreas Opelt, Michael Fussenegger, Axel Pinz, Pet...
246
Voted
ICDE
1995
IEEE
192views Database» more  ICDE 1995»
16 years 2 months ago
Mining Sequential Patterns
Abstract. The problem of mining sequential patterns was recently introduced in 3 . We are given a database of sequences, where each sequence is a list of transactions ordered by tr...
Rakesh Agrawal, Ramakrishnan Srikant
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