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ICIP
2009
IEEE
13 years 6 months ago
K-means based segmentation for real-time zenithal people counting
The paper presents an efficient and reliable approach to automatic people segmentation, tracking and counting, designed for a system with an overhead mounted (zenithal) camera. Up...
Borislav Antic, Dragan Letic, Dubravko Culibrk, Vl...
CVPR
2004
IEEE
14 years 10 months ago
Capturing Image Structure with Probabilistic Index Maps
One of the major problems in modeling images for vision tasks is that images with very similar structure may locally have completely different appearance, e.g., images taken under...
Nebojsa Jojic, Yaron Caspi
ICMCS
2007
IEEE
124views Multimedia» more  ICMCS 2007»
14 years 2 months ago
Robust Video Object Segmentation Based on K-Means Background Clustering and Watershed in Ill-Conditioned Surveillance Systems
A robust video object segmentation algorithm for complex conditions in surveillance systems is proposed in this paper. This algorithm contains an unsupervised K-Means background c...
Tse-Wei Chen, Shou-Chieh Hsu, Shao-Yi Chien
ICASSP
2010
IEEE
13 years 8 months ago
Robust background modeling via standard variance feature
In this paper, a novel standard variance feature is proposed for background modeling in dynamic scenes involving waving trees and ripples in water. The standard variance feature i...
Bineng Zhong, Hongxun Yao, Shaohui Liu
ICC
2007
IEEE
206views Communications» more  ICC 2007»
14 years 2 months ago
Buffer Occupation Probability of Trace-Driven Background Streams in Hybrid Simulation
— In this paper, numerical calculation schemes of the buffer occupation probability for a buffer which is fed by a large number of independent and stationary sources are evaluate...
Ben Lauwens, Bart Scheers, Antoine Van de Capelle