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ICASSP
2011
IEEE
14 years 10 months ago
Efficient block-division model for robust multiple object tracking
Tracking multiple objects under occlusion is one of the most challenging issues in computer vision. Occlusion results in mistaken match when finding the most similar candidate. A...
Wenhan Luo, Xiaoqin Zhang, Yang Liu, Xi Li, Weimin...
CVPR
2006
IEEE
16 years 8 months ago
Counting Crowded Moving Objects
In its full generality, motion analysis of crowded objects necessitates recognition and segmentation of each moving entity. The difficulty of these tasks increases considerably wi...
Vincent Rabaud, Serge Belongie
ICIP
2005
IEEE
16 years 8 months ago
Comparison of invariant descriptors for object recognition
This paper deals with the performance evaluation of three object invariant descriptors : Hu moments, Zernike moments and Fourier-Mellin descriptors. Experiments are conducted on a...
Anant Choksuriwong, Bruno Emile, Hélè...
ICIP
2004
IEEE
16 years 8 months ago
A probabilistic framework for object recognition in video
We propose a solution to the problem of object recognition given a continuous video sequence containing multiple views of an object. Initially, object models are acquired from ima...
Omar Javed, Mubarak Shah, Dorin Comaniciu
ICIP
2000
IEEE
16 years 8 months ago
Objective Evaluation of Relative Segmentation Quality
When working in image and video segmentation, the major objective is to design an algorithm producing the appropriate segmentation results for the particular goals of the applicat...
Paulo Correia, Fernando Pereira