Lip-Reading by Surveillance Cameras
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21260%2F17%3A00348942" target="_blank" >RIV/68407700:21260/17:00348942 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1109/SCSP.2017.7973348" target="_blank" >https://doi.org/10.1109/SCSP.2017.7973348</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/SCSP.2017.7973348" target="_blank" >10.1109/SCSP.2017.7973348</a>
Alternative languages
Result language
angličtina
Original language name
Lip-Reading by Surveillance Cameras
Original language description
To increase the safety of citizens a network of surveillance cameras has been installed all over the city. These cameras enable analysis of behavior of people and objects. Aggressive behavior is from nature multimodal. Microphones attached to these cameras are not able to analyze speech in a noisy environments and if the speaker is too far away. Lip-movements of a talking mouth can be recorded and understood under limited conditions. From recent progress in the area of Artificial Intelligence it can be expected that large scale lip-reading will be possible next future. In this paper we report the state of the art of lip-reading for the Dutch language. We present a prototype developed at Delft University of Technology. The model is based on the Active Appearance model and Hidden Markov models. The results of experiments with the lip-reading will be represented too. The system has been successfully applied in trains to detect aggressive acts and violence against people and material.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2017 Smart City Symposium Prague
ISBN
978-1-5386-3825-5
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
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Publisher name
ČVUT, Fakulta dopravní, Ústav dopravních systémů
Place of publication
Praha
Event location
Prague
Event date
May 25, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000443416600002