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» Super-Resolution on Moving Objects and Background
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ICIAP
2003
ACM
15 years 2 months ago
Detection and recognition of moving objects using statistical motion detection and Fourier descriptors
Object recognition, i. e. classification of objects into one of several known object classes, generally is a difficult task. In this paper we address the problem of detecting an...
Daniel Toth, Til Aach
DPHOTO
2009
189views Hardware» more  DPHOTO 2009»
14 years 7 months ago
Automatic background generation from a sequence of images based on robust mode estimation
In this paper, we present a novel method for generating a background model from a sequence of images with moving objects. Our approach is based on non-parametric statistics and ro...
Desire Sidibé, Olivier Strauss, William Pue...
ICIP
2003
IEEE
15 years 11 months ago
Robust moving video object segmentation in the MPEG compressed domain
In this paper, we proposed a robust moving video object segmentation algorithm using features in the MPEG compressed domain. We first cluster the motion vectors and produce a moti...
Xiao-Dong Yu, Ling-Yu Duan, Qi Tian
CVPR
2003
IEEE
15 years 11 months ago
Object Segmentation in Videos from Moving Camera with MRFs on Color and Motion Features
In this paper we address the problem of fast segmenting moving objects in video acquired by moving camera or more generally with a moving background. We present an approach based ...
Rita Cucchiara, Andrea Prati, Roberto Vezzani
DICTA
2003
14 years 11 months ago
Automatic Adaptive Segmentation of Moving Objects Based on Spatio-Temporal Information
This paper suggests a novel segmentation algorithm for separating moving objects from the background in video sequences without any prior information of the sequence nature. We for...
Ofer Miller, Amir Averbuch, Yosi Keller