Lip-Reading by Surveillance Cameras
Identifikátory výsledku
Kód výsledku v 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>
Výsledek na webu
<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>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Lip-Reading by Surveillance Cameras
Popis výsledku v původním jazyce
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.
Název v anglickém jazyce
Lip-Reading by Surveillance Cameras
Popis výsledku anglicky
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.
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
—
OECD FORD obor
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Návaznosti výsledku
Projekt
—
Návaznosti
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Ostatní
Rok uplatnění
2017
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
2017 Smart City Symposium Prague
ISBN
978-1-5386-3825-5
ISSN
—
e-ISSN
—
Počet stran výsledku
6
Strana od-do
—
Název nakladatele
ČVUT, Fakulta dopravní, Ústav dopravních systémů
Místo vydání
Praha
Místo konání akce
Prague
Datum konání akce
25. 5. 2017
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
000443416600002