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» Detecting branching structures using local Gaussian models
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BMVC
2010
14 years 7 months ago
Detection of Curves with Unknown Endpoints using Minimal Path Techniques
We present a novel method to detect curves with unknown endpoints using minimal path techniques. Our work builds on the state of the art minimal path techniques currently used to ...
Vivek Kaul, Yichang Tsai, Anthony J. Yezzi
CVPR
2009
IEEE
16 years 4 months ago
Learning color and locality cues for moving object detection and segmentation
This paper presents an algorithm for automatically detecting and segmenting a moving object from a monocular video. Detecting and segmenting a moving object from a video with limit...
Feng Liu (University of Wisconsin-Madison), Michae...
CDC
2008
IEEE
15 years 4 months ago
Shannon meets Bellman: Feature based Markovian models for detection and optimization
— The goal of this paper is to develop modeling techniques for complex systems for the purposes of control, estimation, and inference: (i) A new class of Hidden Markov Models is ...
Sean P. Meyn, George Mathew
70
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ICIP
1998
IEEE
15 years 11 months ago
Image Sequence Analysis and Segmentation using G-blobs
This paper introduces a new generalisation of the familiar scale-space and wavelet representations, designed specifically to deal with the complexities of representing motions ind...
Andrew Calway, Peter Meulemans, Roland G. Wilson, ...
PAMI
2008
189views more  PAMI 2008»
14 years 9 months ago
Detecting Objects of Variable Shape Structure With Hidden State Shape Models
This paper proposes a method for detecting object classes that exhibit variable shape structure in heavily cluttered images. The term "variable shape structure" is used t...
Jingbin Wang, Vassilis Athitsos, Stan Sclaroff, Ma...