Modelling Multi-object Activity by Gaussian Processes

12 years 10 months ago

Download www.eecs.qmul.ac.uk

We present a new approach for activity modelling and anomaly detection based on non-parametric Gaussian Process (GP) models. Speciﬁcally, GP regression models are formulated to learn non-linear relationships between multi-object activity patterns observed from semantically decomposed regions in complex scenes.

Chen Change Loy, Tao Xiang, Shaogang Gong

Real-time Traffic

Computer Vision | Surveillance | Video Analysis |

posted by ccloy

» Active Learning with Gaussian Processes for Object Categorization

» Fast Active Exploration for LinkBased Preference Learning Using Gaussian Processes

» Spatially Adaptive Classification and Active Learning of Multispectral Data with Gaussian ...

» Realtime Body Tracking Using a Gaussian Process Latent Variable Model

» Exploring the behavior of building blocks for multiobjective variation operator design usi...

» Signal estimation using multiplewavelet representations and Gaussian models

» Modeling Human Locomotion with Topologically Constrained Latent Variable Models

» Gaussian Process Regression Flow for Analysis of Motion Trajectories

Post Info
More Details (n/a)

Added	14 Jan 2012
Updated	14 Jan 2012
Type	Conference
Year	2009
Where	BMVC
Authors	Chen Change Loy, Tao Xiang, Shaogang Gong

Comments (0)

	Multi-Camera Activity Correlation Analysis 930 views
	Modelling Activity Global Temporal Dependencies using Time Delayed Probabilistic Graphical Model 900 views
	Time-Delayed Correlation Analysis for Multi-Camera Activity Understanding 574 views
	Stream-based Active Unusual Event Detection 539 views
	Activity Understanding and Unusual Event Detection in Surveillance Videos 815 views

Sciweavers

Modelling Multi-object Activity by Gaussian Processes

Computer Vision | Surveillance | Video Analysis |

Explore & Download

Productivity Tools

Document Tools

Image Tools

Sciweavers