ICCV 09 WORKSHOP 2009 - 2nd IEEE International Workshop on Tracking Humans for the Evaluation of their Motion in Image Sequences (THEMIS2009)

Website http://iselab.cvc.uab.es/themis2009 | Edit Freely

Category ICCV 09 WORKSHOP 2009

Deadline: June 24, 2009 | Date: October 03, 2009

Venue/Country: kyoto, Japan

Updated: 2010-06-04 19:32:22 (GMT+9)

Call For Papers - CFP

During the past decades, important efforts in computer vision research have been focused on the description of human movements in image sequences. Broadly speaking, the main goal was the estimation of quantitative parameters describing where human motion is detected. Nowadays, the focus is also on the analysis of image sequences by applying image and scene understanding techniques to that detected human motion. That is, the true challenge is the generation of qualitative descriptions about the meaning of motion, therefore understanding not only where, but also why a human behaviour is being observed. These goals have become a key task in many computer vision applications, such as image and scene understanding; video indexing and retrieval; video surveillance and advanced human-computer interaction.

The Second International Workshop on Tracking Humans for the Evaluation of their Motion in Image Sequences (THEMIS2009) will focus on the understanding of human behaviours in image sequences based on computer vision. THEMIS2009 is interested on human motion understanding techniques for sports, news, surveillance, documentaries and movie footage.

THEMIS2009 will aim at promoting interaction and collaboration among researchers specialising in these related fields:

# High-level behaviour recognition and understanding;

# Use of ontologies on human motion for video footage;

# Browsing, indexing and retrieval of human behaviours in video;

# Region categorization in human-populated scenarios;

# Automatic annotation of human motion in video content;

# Natural-language description of human behaviours;

# Cognitive surveillance and ambient intelligence;

# Learning models for behaviour analysis (body/face);

# Recognizing behaviours in multimedia archives;

# Human behaviour synthesis: articulated models and animation.