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ICIP
2009
IEEE
16 years 20 days ago
Corner-based Background Segmentation Using Adaptive Resonance Theory
A correct video segmentation, namely the detection of moving objects within a scene plays a very important role in many application in safety, surveillance, trafic monitoring and ...
ACCV
2006
Springer
15 years 5 months ago
Markovian Framework for Foreground-Background-Shadow Separation of Real World Video Scenes
Abstract. In this paper we give a new model for foreground-background-shadow separation. Our method extracts the faithful silhouettes of foreground objects even if they have partly...
Csaba Benedek, Tamás Szirányi
133
Voted
ICASSP
2011
IEEE
14 years 3 months ago
Detecting moving objects from dynamic background with shadow removal
Background subtraction is commonly used to detect foreground objects in video surveillance. Traditional background subtraction methods are usually based on the assumption that the...
Shih-Chieh Wang, Te-Feng Su, Shang-Hong Lai
CVPR
1999
IEEE
16 years 1 months ago
Bayesian Multi-Camera Surveillance
The task of multi-camera surveillance is to reconstruct the paths taken by all moving objects that are temporarily visible from multiple non-overlapping cameras. We present a Baye...
Vera Kettnaker, Ramin Zabih
ICMCS
2006
IEEE
1179views Multimedia» more  ICMCS 2006»
15 years 5 months ago
A Simple and Accurate Color Face Detection Algorithm in Complex Background
Human face detection plays an important role in many applications such as video surveillance, face recognition, and face image database management. This paper describes a fast fac...
Yu-Ting Pai, Shanq-Jang Ruan, Mon-Chau Shie, Yi-Ch...