Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Andreas Zweng"'
Publikováno v:
ACPR
Crowd analysis by automated visual surveillance represents a challenging task in many practically relevant scenarios. In this paper we address the problem of capturing relevant correlated movement within a line formed by waiting pedestrians to estima
Publikováno v:
ACPR
The analysis of discrete two-dimensional distributions is a relevant task in computer vision, since many intermediate representations are generated inform of a two-dimensional map. Probabilistic inference or the response of discriminative classificat
Publikováno v:
AVSS
The task of large-area visual monitoring for the protection of critical and public infrastructures calls for reliable automated visual surveillance systems. Reliability in this context implies that a high detection accuracy of critical events shall b
Autor:
Martin Kampel, Andreas Zweng
Publikováno v:
ICDP
We propose a new feature descriptor for action recognition and crime detection using computation of feature relations in the spatio-temporal domain. The novelty of this approach is the computation of similarity of body-parts during movement of the bo
Autor:
Andreas Zweng, Martin Kampel
Publikováno v:
2013 IEEE International Workshop on Performance Evaluation of Tracking and Surveillance (PETS).
In this paper, we evaluate a new algorithm for pedestrian detection using a relational feature model (RFM) in combination with histogram similarity functions. For histogram comparison, we use the bhattacharyya distance, histogram intersection, histog
Autor:
Andreas Zweng, Martin Kampel
Publikováno v:
Image Analysis ISBN: 9783642388859
SCIA
SCIA
Pedestrian detection has been used with the help of various local features in still images such as histograms of oriented gradients (HOG), local binary patterns (LBP) and more recently, the histograms of optical flow (HOF). In order to improve the ro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8a624c1fe3355ef82355d9c3bedd141b
https://doi.org/10.1007/978-3-642-38886-6_22
https://doi.org/10.1007/978-3-642-38886-6_22
Publikováno v:
Computer Graphics and Imaging / 798: Signal Processing, Pattern Recognition and Applications.
Vision based fall detection solutions support elderly who live alone in their homes. For people falling down and not being able to stand up on their own again, such a fall is a major risk. In this work, we show a person detection approach using a rel
Autor:
Andreas Zweng, Martin Kampel
Publikováno v:
AVSS
In this paper, we propose a new approach for people detection using a relational feature model (RFM) in combination with histogram similarity functions such as the bhattacharyya distance, histogram intersection, histogram correlation and the chi-squa
Autor:
Andreas Zweng, Martin Kampel
Publikováno v:
Advances in Visual Computing ISBN: 9783642240300
ISVC (2)
ISVC (2)
This paper deals with the problem of computational performance of person detection using the histogram of oriented gradients feature (HOG). Our approach increases the performance for implementations of person detection using a sliding window by learn
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::316728c05f9e320e3b489b0fa6c89b2d
https://doi.org/10.1007/978-3-642-24031-7_45
https://doi.org/10.1007/978-3-642-24031-7_45
Publikováno v:
Computer Analysis of Images and Patterns ISBN: 9783642236778
CAIP (2)
CAIP (2)
In this paper we evaluate similarity functions for histograms such as chi-square and Bhattacharyya distance for different color spaces such as RGB or L*a*b*. Our main contribution is to show the performance of these histogram-based similarity functio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4c8f41d84613c16315e97ab525a741d6
https://doi.org/10.1007/978-3-642-23678-5_54
https://doi.org/10.1007/978-3-642-23678-5_54