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AISB event Bulletin Item

CFP: PETS 2007 Performance Evaluation of Tracking and Surveillance


10th IEEE International Workshop on Performance Evaluation of Tracking and 
Surveillance (PETS 2007)

In Conjunction with 11th IEEE ICCV

Visual surveillance is a major research area in computer vision. The recent 
rapid increase in the number of surveillance cameras has led to a strong demand 
for automatic methods of processing their outputs. The scientific challenge is 
to devise and implement automatic systems for obtaining detailed information 
about the activities and behaviours of people and vehicles observed by a single 
camera or by a network of cameras.

Visual Surveillance is a key technology in the following areas:

- the fight against terrorism and crime including threat assessment
- public safety, especially in transport networks, town centres and public 
facilities such as schools, hospitals and sports grounds
- the efficient management of transport networks and public facilities

The growth in the development of the field has not been met with complementary 
systematic performance evaluation of developed techniques. It is especially 
difficult to make comparisons between algorithms if they have been tested on 
different datasets under widely varying conditions.

A one day workshop is being held in Rio de Janeiro in conjunction with ICCV 
2007. The workshop continues the theme of the highly successful PETS workshops. 
This workshop aims to bring together researchers interested in performance 
evaluation of visual tracking and surveillance algorithms. The workshop is also 
unique in that all participants are evaluating algorithms on the same datasets. 
Further to this, the workshop is an opportunity to present and discuss 
methodologies and criteria for objective evaluation of visual surveillance 

For PETS 2007, the theme is multi-sensor event recognition in crowded public 
areas.  Volume crime and security threats are considered.

Submissions are solicited which EITHER:

1.  Contribute to performance evaluation methodologies for tracking and/or 
surveillance. This can be a general paper outlining, for example, a new 
methodology for evaluation, or performance evaluation best practice etc. It is 
not necessary to explictly consider the datasets provided for the workshop, 
however you are encouraged to use PETS datasets.


2. Describe an approach to event recognition and report results based on
the datasets provided for this workshop. The paper should include evaluation of 
the results obtained on the data (to be submitted in XML format)
The focus of the datasets is on the following types of event: i) loitering,
ii) attended luggage removal ("theft"), and iii) unattended luggage,
of increasing complexity, captured using multiple sensors, within an airport 
terminal building setting.

Further details (including submission information) is available at the workshop 
web site at: