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» Building Adaptive Camera Models for Video Surveillance
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VRST
2005
ACM
15 years 3 months ago
Rapid scene modelling, registration and specification for mixed reality systems
Many mixed-reality systems require real-time composition of virtual objects with real video. Such composition requires some description of the virtual and real scene geometries an...
Russell M. Freeman, Anthony Steed, Bin Zhou
ICPR
2006
IEEE
15 years 10 months ago
Robust Recursive Learning for Foreground Region Detection in Videos with Quasi-Stationary Backgrounds
Detecting regions of interest in video sequences is the most important task in many high level video processing applications. In this paper a robust technique based on recursive l...
Alireza Tavakkoli, George Bebis, Mircea Nicolescu
CVPR
2009
IEEE
16 years 4 months ago
Observe Locally, Infer Globally: a Space-Time MRF for Detecting Abnormal Activities with Incremental Updates
We propose a space-time Markov Random Field (MRF) model to detect abnormal activities in video. The nodes in the MRF graph correspond to a grid of local regions in the video fra...
Jaechul Kim (University of Texas at Austin), Krist...
ICIP
2004
IEEE
15 years 11 months ago
A motion field reconstruction scheme for smooth boundary video object segmentation
Motion segmentation is a classic and on-going research topic which is an important pre-stage for many video processes. The reliability of the motion field calculation directly dete...
Jean Gao, Ninad Thakoor, Sungyong Jung
110
Voted
MM
2003
ACM
239views Multimedia» more  MM 2003»
15 years 2 months ago
Foreground object detection from videos containing complex background
This paper proposes a novel method for detection and segmentation of foreground objects from a video which contains both stationary and moving background objects and undergoes bot...
Liyuan Li, Weimin Huang, Irene Y. H. Gu, Qi Tian