Zobrazeno 1 - 10
of 51
pro vyhledávání: '"A. Beoldo"'
Publikováno v:
New Trends and Developments in Automotive Industry
In the last few years, the application of ICT technologies in automotive field has taken an increasing role in improving both the safety and the driving comfort. In this context, systems capable of determining the traffic situation and/or driver beha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::64e61c42f7a016427c3e78c64ce9f6fb
https://doi.org/10.5772/13234
https://doi.org/10.5772/13234
Publikováno v:
AVSS
Real-time automatic human behavior recognition is oneof the most challenging tasks for intelligent surveillancesystems. Its importance lies in the possibility of robust detectionof suspicious behaviors in order to prevent possiblethreats. The widespr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c485093b88b43650e0cc55edd5242c84
https://doi.org/10.1109/avss.2010.56
https://doi.org/10.1109/avss.2010.56
Publikováno v:
Trends in Applied Intelligent Systems ISBN: 9783642130243
IEA/AIE (2)
IEA/AIE (2)
In the last few years, the application of ICT technologies in automotive field has taken an increasing role in improving both the safety and the driving comfort. In this context, systems capable of determining the traffic situation and/or driver beha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7794d1c25e56be9269543baa2d91b283
http://hdl.handle.net/11567/237116
http://hdl.handle.net/11567/237116
Publikováno v:
ICIP
In the near future automatic systems able to detect the traffic situation and to understand driver behavior and intent will probably become vehicle tools important for improving driver safety. Therefore, robust video processing techniques able to cop
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cabc872b8d1fb5fac3656de172828b06
https://doi.org/10.1109/icip.2009.5413519
https://doi.org/10.1109/icip.2009.5413519
Publikováno v:
ICCV Workshops
This paper presents a multitarget tracking algorithm based on a particle filter framework that exploits a sparse distributed shape model to handle partial occlusions. The state vector is composed by a set of points of interest (i.e. corners) and it e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e17fdd71e1d0b4f9f051866829c9823e
http://hdl.handle.net/11567/253627
http://hdl.handle.net/11567/253627
Publikováno v:
ACM International Conference Proceeding Series; Aug2007, p1-5, 5p
Publikováno v:
2007 IEEE Conference on Advanced Video & Signal Based Surveillance; 2007, p230-235, 6p
Publikováno v:
ICIP
This paper presents a tracking algorithm based on a sequential importance sampling (SIS) particle filter scheme followed by a resampling strategy where shape and color cues are exploited to handle deformable objects. The state vector is composed by a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::908428d4cbbd76fe6ec6bc9dcfb4d13e
https://doi.org/10.1109/icip.2008.4711735
https://doi.org/10.1109/icip.2008.4711735
Publikováno v:
14th International Conference on Image Analysis and Processing (ICIAP 2007).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f8b054cfe7d5b50393b46375ea997e11
https://doi.org/10.1109/iciap.2007.4362797
https://doi.org/10.1109/iciap.2007.4362797