Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Jianzhu Cui"'
Publikováno v:
Journal of Electrical and Computer Engineering, Vol 2014 (2014)
The topology inference is the study of spatial and temporal relationships among cameras within a video surveillance network. We propose a novel approach to understand activities based on the visual coverage of a video surveillance network. In our app
Externí odkaz:
https://doaj.org/article/ea929c45f7b1420fb7de509e8f09c25a
Publikováno v:
AASRI Procedia. 1:435-440
In Obstacle detection is based on inverse perspective mapping and homography. Obstacle classification is based on fuzzy neural network. The estimation of the vanishing point relies on feature extraction strategy. The method exploits the geometrical r
Publikováno v:
Advances in Mechanical and Electronic Engineering ISBN: 9783642315060
Detection is the first and foremost step in any automated recognition system in image electronic technology. Its reliability greatly affects the performance and usability of the whole system. In this paper, the processing is done as follows: Step one
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6b27b6e9cd6890701d01f6f87ab6deca
https://doi.org/10.1007/978-3-642-31507-7_95
https://doi.org/10.1007/978-3-642-31507-7_95
Publikováno v:
Advances in Intelligent and Soft Computing ISBN: 9783642273339
In this paper, moving object detection under the dynamic background in aerial videos has been studied, and a moving vehicle detection algorithm based on the motion vector is proposed, using the KLT algorithm for matching feature points, according to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c8c2012c2cf48915f3c288b3eccbcefb
https://doi.org/10.1007/978-3-642-27334-6_6
https://doi.org/10.1007/978-3-642-27334-6_6
Publikováno v:
Advances in Mechanical and Electronic Engineering ISBN: 9783642315060
A lane mark detection is used in various driver assist systems for vehicle electronic technology. One of the subjects for the vision system is improvement of robustness. Various methods have been tried to achieve it. In this work, we tried to improve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e0dbbeb0c022e8fe26d49d9fbf040e9f
https://doi.org/10.1007/978-3-642-31507-7_94
https://doi.org/10.1007/978-3-642-31507-7_94
Publikováno v:
Advances in Computer Science, Intelligent System and Environment ISBN: 9783642237768
CSISE (1)
CSISE (1)
This paper presents a method to detect vehicles from a moving camera. The detection component involves a cascade of modules. First, motion estimation of singular points in video sequences is used to detect moving vehicle. Finding the image points is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b96308ea9968ee915c1438c4436580bd
https://doi.org/10.1007/978-3-642-23777-5_63
https://doi.org/10.1007/978-3-642-23777-5_63
Publikováno v:
2010 3rd International Congress on Image and Signal Processing.
To bridge the semantic gap between low-level visual features and high-level semantic concepts, this paper puts forward a novel feedback mechanism which is based on both instance and keyword features. In offline part, keyword space model is first cons
Publikováno v:
Intelligent Vehicles Symposium
Lots of rear end collisions due to driver inattention have been identified as a major automotive safety issue. A short advance warning can reduce the number and severity of the rear end collisions. This paper describes a Forward Collision Warning (FC
Publikováno v:
2009 WRI Global Congress on Intelligent Systems.
To bridge the semantic gap between low-level visual features and high-level semantic concepts, this paper puts forward a novel semi-supervised learning framework of combining visual and keyword features. We assume all of images in the database have b
Publikováno v:
2009 WRI Global Congress on Intelligent Systems.
This paper presents a novel unsupervised learning framework named Image Retrieval Based on Manifold Learning and Incorporate Clustering. The dimensionality of image descriptors used in image retrieval applications is quite high. Given a query image,