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ICCV
2007
IEEE
13 years 11 months ago
Co-Tracking Using Semi-Supervised Support Vector Machines
This paper treats tracking as a foreground/background classification problem and proposes an online semisupervised learning framework. Initialized with a small number of labeled ...
Feng Tang, Shane Brennan, Qi Zhao, Hai Tao
ICCV
2005
IEEE
13 years 10 months ago
Object Detection in Aerial Imagery Based on Enhanced Semi-Supervised Learning
Object detection in aerial imagery has been well studied in computer vision for years. However, given the complexity of large variations of the appearance of the object and the ba...
Jian Yao, Zhongfei (Mark) Zhang
CVPR
2005
IEEE
14 years 7 months ago
Semi-Supervised Adapted HMMs for Unusual Event Detection
We address the problem of temporal unusual event detection. Unusual events are characterized by a number of features (rarity, unexpectedness, and relevance) that limit the applica...
Dong Zhang, Daniel Gatica-Perez, Samy Bengio, Iain...
ICASSP
2009
IEEE
13 years 11 months ago
A semi-supervised learning approach to online audio background detection
We present a framework for audio background modeling of complex and unstructured audio environments. The determination of background audio is important for understanding and predi...
Selina Chu, Shrikanth S. Narayanan, C.-C. Jay Kuo
ICMCS
2005
IEEE
105views Multimedia» more  ICMCS 2005»
13 years 10 months ago
Persistent audio modelling for background determination
This paper is concerned with modelling background audio online to detect foreground sounds in complex audio environments for surveillance and smart home applications. We examine a...
Simon Moncrieff, Svetha Venkatesh, Geoff A. W. Wes...