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ACCV
2007
Springer
15 years 5 months ago
Robust Foreground Extraction Technique Using Gaussian Family Model and Multiple Thresholds
Abstract. We propose a robust method to extract silhouettes of foreground objects from color video sequences. To cope with various changes in the background, the background is mode...
Hansung Kim, Ryuuki Sakamoto, Itaru Kitahara, Tomo...
WSCG
2004
212views more  WSCG 2004»
15 years 1 months ago
Face and Hands Segmentation in Color Images and Initial Matching with a Biomechanical Model
In this paper we describe a robust and efficient procedure to detect skin region with homogeneous color values in monocular indoor images. The mathematical background is a functio...
Jose Maria Buades Rubio, Manuel González Hi...
101
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AVSS
2008
IEEE
15 years 1 months ago
Evaluation of Background Subtraction Algorithms with Post-Processing
Processing a video stream to segment foreground objects from the background is a critical first step in many computer vision applications. Background subtraction (BGS) is a common...
Donovan H. Parks, Sidney Fels
ICIAP
2001
Springer
15 years 11 months ago
Detecting Objects, Shadows and Ghosts in Video Streams by Exploiting Color and Motion Information
Many approaches to moving object detection for traffic monitoring and video surveillance proposed in the literature are based on background suppression methods. How to correctly a...
Rita Cucchiara, Costantino Grana, Andrea Prati, Ma...
ICASSP
2010
IEEE
14 years 10 months ago
Real-time content adaptive contrast enhancement for see-through fog and rain
In this paper we present a novel algorithm for improving the visibility of surveillance videos degraded by fog and/or rain. The proposed algorithm adaptively enhances the global a...
Zhen Jia, Hongcheng Wang, Rodrigo Caballero, Ziyou...