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» Robust moving object detection under complex background
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CVPR
2007
IEEE
14 years 9 months ago
Multi-Layer Background Subtraction Based on Color and Texture
In this paper, we propose a robust multi-layer background subtraction technique which takes advantages of local texture features represented by local binary patterns (LBP) and pho...
Jian Yao, Jean-Marc Odobez
CVPR
2010
IEEE
14 years 3 months ago
The Cluttered Background Problem for Active Contours: A Minimum-Latency Solution
We present a region-based active contour detection algorithm for objects that exhibit relatively homogeneous photometric characteristics (e.g. smooth color or gray levels), embedd...
Stefano Soatto, Ganesh Sundaramoorthi, Anthony Yez...
BMVC
1997
13 years 9 months ago
Robust Recursive Structure and Motion Recovery under Affine Projection
In this paper we present an algorithm for structure and motion (SM) recovery under affine projection from video sequences. The algorithm tracks the motion of a single structure, b...
Miroslav Trajkovic, Mark Hedley
CVPR
2009
IEEE
15 years 2 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...
CAIP
2007
Springer
217views Image Analysis» more  CAIP 2007»
14 years 1 months ago
Mixture Models Based Background Subtraction for Video Surveillance Applications
— Background subtraction is a method commonly used to segment objects of interest in image sequences. By comparing new frames to a background model, regions of interest can be fo...
Chris Poppe, Gaëtan Martens, Peter Lambert, R...