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Research
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<< Page under maintenance, new content
coming soon!>>
Video results of past projects
Multi-camera
networks [ the book
]
(calibration,
detection, tracking, camera selection)
Target
detection and tracking [ the book
]
(2D/3D faces, people, vehicles, moving objects, shadows)
Behaviour and
identity recognition
(lip-reading,
expressions, interactions, unusual behaviour)
Perceptual semantics in
multimedia
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Completed projects
- Audio-visual
semantic discovery
- Dynamic
visual scene analysis
- Audio
detection and classification of events
- Automatic
object prototyping for video annotation
- Cognitive
models for personalised presentation and retrieval of visual
information
- 3D facial
scan analysis
- MOTINAS -
Multi-modal object tracking in a network of audio-visual sensors
The
goal of this project was to develop algorithms for
multi-modal and multi-sensor tracking using STAC sensors
(stereo microphones coupled with cameras. To evaluate the tracking
scheme, we created a test corpus and its associated ground-truth
data for use in the project as well as for distribution to the
research community through the website http://www.spevi.org to facilitate
comparisons.
Project
webpage: http://www.elec.qmul.ac.uk/staffinfo/andrea/motinas.html
- Smart Camera
The goal of this internal project is to develop a camera which
extends the capabilities of standard cameras by analyzing
the scene in order to generate a scalable content description. Such
a device has a wide range of actual and potential applications, including
textual scene description, video surveillance, augmented reality,
Universal Multimedia Access (UMA)
Demo: Smart camera
- art.live -
Architecture and authoring tools for prototype for Living Images and
new Video Experiments
art.live develops an innovative authoring
tool that enables artists/users to easily create mixed real and
virtual narrative spaces and disseminate them in real-time to the
public through the Internet (or any IP support). art.live is an European IST (Information
Society Technology, part of the 5th Framework Programme. art.live develops an architecture and a set of
tools for the enhancement of narrative spaces. To this aim, art.live gathers image processing engineers, AI
computer scientists and multimedia authors. This approach is
concretely implemented by way of several techniques of artificial
intelligence, signal processing, communications and Human-Computer
interfaces.
art.live web page: http://www.tele.ucl.ac.be/PROJECTS/art.live/
- MODEST -
Multimedia Object Descriptors Extraction from Surveillance Tapes
MODEST defines and develops a framework for the analysis of video
sequences aiming at high-level semantic scene interpretation. The
approach is based on the segmentation, tracking and indexing of
moving objects in video scenes by using Intelligent Physical Agents
(IPA). The work is performed in the scope of the MPEG-4 and MPEG-7
standards. The final goal of the system is to provide automatic
interpretations and decisions from visual observation. A human user
interacting with the system may confirm the automatic decisions,
which are usually alarms following event detection.
MODEST web page: http://www.tele.ucl.ac.be/PROJECTS/MODEST/
Demo: the MODEST video object kernel
- SURVEILLANCE
- Analysis of video sequences to track moving objects
SURVEILLANCE focuses on the analysis of images with the general goal
of identifying, indexing and tracking moving objects and recognizing
automatically changes in a given scenery. Main methods used are
optical flow, change detection, segmentation and tracking. The
Surveillance Project is performed under the framework of CTI. There
are three groups involved into this project namely EPFL-LTS,
Siemens-Cerberus and Motorola.
- Integrated
circuits for low-cost multimedia systems: compression and
decompression of audio and video signals and data streams
The
objective of the project is to develop a low-cost and low-consuming
interactive multimedia system, suitable for those information
services which provide audio/video upstream communication of low
cost and wide diffusion, such as interactive television and consumer
playback applications. The information servers are connected to set
top boxes at the customer premises through upstream channels of
512Kbit/s - 2Mbit/s. The audio/video signal, suitably coded and transmitted
by a single user, is collected by the server, transcoded in MPEG,
mixed with the main signal and other user-contributed MPEG signals
and then broadcasted to all the users on downstream channels with a
bit-rate of 4-20 Mbit/s. We propose to overcome some drawbacks of
the current coders, i.e. the fixed block size and the use of non realistic transformation in motion
compensation. As regards the former, a quadtree
structure can be employed allowing a careful treatment of the highly
detailed areas of an image. This can be achieved using two sizes of
blocks and a three stage motion compensation algorithm, while the
former drawback can be overcome considering a non-translational
motion field that allows not only the modelling of translation but
also of other kind of motion such as rotation, shearing, warping and
uneven stretching.
Project web page: http://ipl.univ.trieste.it/ipl/microelectr.html
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