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Multiple Kernel Shadowed Clustering in Approximated Feature Space

2018
Compared to conventional fuzzy clustering, shadowed clustering possesses several advantages, such as better modeling of the uncertainty for the overlapped data, reduction of computation and more robust to outliers because of the generated shadowed partitions.
Yin-Ping Zhao   +2 more
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Vehicle Detection Algorithm Based on Shadow Feature

2008 ISECS International Colloquium on Computing, Communication, Control, and Management, 2008
Focusing on vehicle detection system, multi-vehicles are detected as a single target, disturbed by cast shadows. No matter what illumination, or if there are shadows, the luminance of the vehicle bottom decreased, the area is the darkest region of an image, is an important information for vehicle detection.
Shaohua Xu   +3 more
openaire   +1 more source

Shadow removing based on color and texture features

2011 International Conference on Consumer Electronics, Communications and Networks (CECNet), 2011
An algorithm was proposed to remove the moving shadow in video surveillance. This method gets the moving objects from motion detection in first, in which removal shadow on invariable features of colors and local texture, then gets rid of the change suddenly pixels in edge of shadow.
Shang Zhenhong   +6 more
openaire   +1 more source

An Overview of Feature-Based Shadow Detection Methods

2020
Shadows occur very frequently in digital images while considering them for various important applications. Shadow is considered as a source of noise and can cause false image colors, loss of information, and false image segmentation. Thus, it is required to detect and remove shadows from images. This chapter addresses the problem of shadow detection in
Suhaib Musleh   +2 more
openaire   +1 more source

Research on Height Measure Based on Shadow Feature

Applied Mechanics and Materials, 2014
At present, the height measure is an important content of image processing. But the height is determined by solar height angle achieved by look-up table, and the method is imprecise and inconvenient. To overcome such drawbacks, a novel determination method was proposed in the paper. First, the imaging time is adjusted to Solar Time.
Li Xue   +3 more
openaire   +1 more source

An analysis of the shadow feature technique in radar detection

IEEE Transactions on Aerospace and Electronic Systems, 1999
Good target detection can be achieved by using shadow feature algorithms, particularly in heavy clutter environments. The performance enhancement of a shadow feature algorithm applied to a maximum likelihood constant false-alarm rate (ML-CFAR) detector is analyzed. Results show that detection performance is significantly improved.
S.W. Leung, J.W. Minett, C.F. Chung
openaire   +1 more source

Scale-Relation Feature for Moving Cast Shadow Detection

2016
Cast shadow is the problem of moving cast detection in visual surveillance applications, which has been studied over years. However, finding an efficient model that can handle the issue of moving cast shadow in various situations is still challenging. Unlike prior methods, we use a data-driven method without the strong parametric assumptions or complex
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The Shadow Economy as a Specific Feature of Russian Capitalism

Problems of Economic Transition, 1999
Although the process of the formation of a capitalist society in Russia is just at the very beginning, some of the features of Russian capitalism have already been determined. It may be said that "shadow capitalism" is arising in the country. One of its most important characteristic features is the institutionalization of the shadow economy, its ...
openaire   +1 more source

Object segmentation and feature estimation using shadows

Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004., 2004
Arnt-Børre Salberg, Alf Harbitz
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