Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Giovanni Gualdi"'
Publikováno v:
EURASIP Journal on Image and Video Processing, Vol 2011 (2011)
Externí odkaz:
https://doaj.org/article/786f30734f2b49f1913891a4ac3fbb0f
Publikováno v:
AVSS
This paper deals with people counting in stores for business analytics using stereo vision. Among the several problems in this type of applications, two are the most relevant for our purposes: the management of occlusions and the distinction between
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::81dae241ed2ccc5ad54eef404080c0b4
https://hdl.handle.net/11380/1247317
https://hdl.handle.net/11380/1247317
Publikováno v:
IEEE transactions on pattern analysis and machine intelligence. 34(8)
The common paradigm employed for object detection is the sliding window (SW) search. This approach generates grid-distributed patches, at all possible positions and sizes, which are evaluated by a binary classifier: The tradeoff between computational
Publikováno v:
EURASIP Journal on Image and Video Processing, Vol 2011 (2011)
EURASIP Journal on Image and Video Processing, Vol 2011, Iss 1, p 684819 (2011)
EURASIP Journal on Image and Video Processing, Vol 2011, Iss 1, p 684819 (2011)
In computer science, contextual information can be used both to reduce computations and to increase accuracy. This paper discusses how it can be exploited for people surveillance in very cluttered environments in terms of perspective (i.e., weak scen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::df7d8c782d7b818dfe63b9eae7c2cee3
http://hdl.handle.net/11578/7537
http://hdl.handle.net/11578/7537
Publikováno v:
AVSS
Despite the many efforts in finding effective feature sets or accurate classifiers for people detection, few works have addressed ways for reducing the computational burden introduced by the sliding window paradigm. This paper proposes a multi-stage
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cf4c219693b3cab19aaf2fed155bb6e2
https://hdl.handle.net/11380/1247268
https://hdl.handle.net/11380/1247268
The use of polar representation of covariance descriptors, suitable for the classification of circular feature sets, is proposed. It overcomes the implicit limits of state-of-the-art methods based on axis-oriented rectangular patches. The suitability
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b06a4f958990c3e777ae8d7e48e887ba
http://hdl.handle.net/11578/7484
http://hdl.handle.net/11578/7484
Publikováno v:
Computer Vision – ECCV 2010 ISBN: 9783642155666
ECCV (6)
ECCV (6)
Many works address the problem of object detection by means of machine learning with boosted classifiers. They exploit sliding window search, spanning the whole image: the patches, at all possible positions and sizes, are sent to the classifier. Seve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::554805a0d8521f07675ed66ada1ac159
http://hdl.handle.net/11578/7766
http://hdl.handle.net/11578/7766
Publikováno v:
CVPR Workshops
Contextual information can be used both to reduce computations and to increase accuracy and this paper presents how it can be exploited for people surveillance in terms of perspective (i.e. weak scene calibration) and appearance of the objects of int
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::26d7543e11b3edbd976e8b261e5abae0
http://hdl.handle.net/11578/7767
http://hdl.handle.net/11578/7767
Autor:
Rita Cucchiara, Giovanni Gualdi
Publikováno v:
Mobile Multimedia Processing ISBN: 9783642123481
WMMP
WMMP
The term mobile is now added to most of computer based systems as synonymous of several different concepts, ranging on ubiquitousness, wireless connection, portability, and so on. In a similar manner, also the name mobile video surveillance is spread
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::30a332a9cf3c46a419b6926b21ad77fb
https://hdl.handle.net/11380/1247270
https://hdl.handle.net/11380/1247270
Publikováno v:
ICDSC
The detection of humans in very complex scenes can be very challenging, due to the performance degradation of classical motion detection and tracking approaches. An alternative approach is the detection of human-like patterns over the whole image. Th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::feece157e3760a1f8f0506499b0c1ded
https://hdl.handle.net/11380/615218
https://hdl.handle.net/11380/615218