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Chapter and Conference Paper
Unsupervised Parameterisation of Gaussian Mixture Models
In this paper we explain a new practical methodology to fully parameterise Gaussian Mixture Models (GMM) to describe data set distributions. Our approach analyses hierarchically a data set distribution to be m...
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Chapter and Conference Paper
Multiple Model Approach to Deformable Shape Tracking
This paper describes a new proposal for tracking deformable objects in video sequences using multiple shape models of heterogeneous dimensionality. This models are generated unsupervisedly from a training sequ...
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Chapter and Conference Paper
A 3D Dynamic Model of Human Actions for Probabilistic Image Tracking
In this paper we present a method suitable to be used for human tracking as a temporal prior in a particle filtering framework such as CONDENSATION [5]. This method is for predicting feasible human postures given...
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Chapter and Conference Paper
Probabilistic Image-Based Tracking: Improving Particle Filtering
Condensation is a widely-used tracking algorithm based on particle filters. Although some results have been achieved, it has several unpleasant behaviours. In this paper, we highlight the...
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Chapter and Conference Paper
3D Human Motion Sequences Synchronization Using Dense Matching Algorithm
This work solves the problem of synchronizing pre-recorded human motion sequences, which show different speeds and accelerations, by using a novel dense matching algorithm. The approach is based on the dynamic...
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Chapter and Conference Paper
Posture Constraints for Bayesian Human Motion Tracking
One of the most used techniques for full-body human tracking consists of estimating the probability of the parameters of a human body model over time by means of a particle filter. However, given the high-dime...
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Chapter and Conference Paper
Semantic Annotation of Complex Human Scenes for Multimedia Surveillance
A Multimedia Surveillance System (MSS) is considered for automatically retrieving semantic content from complex outdoor scenes, involving both human behavior and traffic domains. To characterize the dynamic in...
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Chapter and Conference Paper
Automatic Learning of Conceptual Knowledge in Image Sequences for Human Behavior Interpretation
This work describes an approach for the interpretation and explanation of human behavior in image sequences, within the context of a Cognitive Vision System. The information source is the geometrical data obtaine...
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Chapter and Conference Paper
Natural Language Descriptions of Human Behavior from Video Sequences
This contribution addresses the generation of textual descriptions in several natural languages for evaluation of human behavior in video sequences. The problem is tackled by converting geometrical information...
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Chapter and Conference Paper
Autonomous Virtual Agents for Performance Evaluation of Tracking Algorithms
This paper describes a framework which exploits the use of computer animation to evaluate the performance of tracking algorithms. This can be achieved in two different, complementary strategies. On the one han...