A color texture based visual monitoring system for automated surveillance

Paschos, George; Valavanis, F.P.

doi:10.1109/5326.760574

Cited by 23 publications

(15 citation statements)

References 44 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In color images, texture is usually extracted either in the intensity image component [47][48][49][50] or in each of the three RGB bands separately [51][52][53]. Both of the two strategies were tested in two different classifications.…”

Section: Textural Extraction and Classificationmentioning

confidence: 99%

New Brodatz-Based Image Databases for Grayscale Color and Multiband Texture Analysis

Safia

2013

ISRN Machine Vision

View full text Add to dashboard Cite

Grayscale and color textures can have spectral informative content. This spectral information coexists with the grayscale or chromatic spatial pattern that characterizes the texture. This informative and nontextural spectral content can be a source of confusion for rigorous evaluations of the intrinsic textural performance of texture methods. In this paper, we used basic image processing tools to develop a new class of textures in which texture information is the only source of discrimination. Spectral information in this new class of textures contributes only to form texture. The textures are grouped into two databases. The first is the Normalized Brodatz Texture database (NBT) which is a collection of grayscale images. The second is the Multiband Texture (MBT) database which is a collection of color texture images. Thus, this new class of textures is ideal for rigorous comparisons between texture analysis methods based only on their intrinsic performance on texture characterization.

show abstract

Section: Textural Extraction and Classificationmentioning

confidence: 99%

New Brodatz-Based Image Databases for Grayscale Color and Multiband Texture Analysis

Safia

2013

ISRN Machine Vision

View full text Add to dashboard Cite

show abstract

“…Although there are a significant number of approaches to dynamic scene segmentation (Collins et al, 2000;Kim et al, 2005;Gutchess et al, 2001;Li et al, 2003;Paschos and Valavanis, 1999;Haritao˘glu et al, 2000;Bobick and Davis, 2001;Thirde et al, 2006) and abnormal action detection (Duque et al, 2006;Gong, 2006, 2008;Zhong et al, 2004;Hamid et al, 2005;Duong et al, 2005), the offline query-processing capabilities are rather limited in most of the existing video-surveillance systems. Retrieving video sequences related to a previously generated alarm is the basic way of querying the semantic content of surveillance videos (e.g., Lyons et al, 2000;Shet et al, 2005).…”

Section: Related Workmentioning

confidence: 99%

“…Background/foreground subtraction (Collins et al, 2000;Kim et al, 2005;Gutchess et al, 2001;Li et al, 2003;Paschos and Valavanis, 1999;Duque et al, 2006) or temporal template-based methods (Haritao˘glu et al, 2000;Bobick and Davis, 2001) are widely used to detect moving objects. One of the basic aims in understanding the objects' behavior is detecting the anomalies in the objects' actions (Duque et al, 2006;Gong, 2006, 2008;Zhong et al, 2004;Hamid et al, 2005;Duong et al, 2005).…”

Section: Introductionmentioning

confidence: 99%

Scenario-based query processing for video-surveillance archives

Şaykol

Güdükbay

Ulusoy

2010

Engineering Applications of Artificial Intelligence

View full text Add to dashboard Cite

Scenario-based querying and retrieval Visual query specification Event-based querying After-the-fact analysis a b s t r a c t Automated video surveillance has emerged as a trendy application domain in recent years, and accessing the semantic content of surveillance video has become a challenging research area. The results of a considerable amount of research dealing with automated access to video surveillance have appeared in the literature; however, significant semantic gaps in event models and content-based access to surveillance video remain. In this paper, we propose a scenario-based query-processing system for video surveillance archives. In our system, a scenario is specified as a sequence of event predicates that can be enriched with object-based low-level features and directional predicates. We introduce an inverted tracking scheme, which effectively tracks the moving objects and enables view-based addressing of the scene. Our query-processing system also supports inverse querying and view-based querying, for after-the-fact activity analysis. We propose a specific surveillance query language to express the supported query types in a scenario-based manner. We also present a visual queryspecification interface devised to facilitate the query-specification process. We have conducted performance experiments to show that our query-processing technique has a high expressive power and satisfactory retrieval accuracy in video surveillance.

show abstract

“…Jain and Healey [3] introduced a method based on unichrome features computed from the three spectral bands independently and opponent features that utilise the spatial correlation between spectral bands using Gabor filters. Paschos [4] presented a visual monitoring system which incorporates colour and texture processing principles for image analysis. This performs a scene segmentation based on colour and texture information.…”

Section: Introductionmentioning

confidence: 99%

Experimentation on the Use of Chromaticity Features, Local Binary Pattern, and Discrete Cosine Transform in Colour Texture Analysis

2003

View full text Add to dashboard Cite

Abstract. This paper describes a method for colour texture analysis, which performs segmentation based on colour and texture information. The main goal of this approach is to examine the contribution of chromaticity features in the analysis of texture. Local binary pattern and discrete cosine transform are the techniques utilised as a tool to perform feature extraction. Segmentation is carried out based on an unsupervised texture segmentation method. The performance of the method is evaluated using different chromaticity features and also using the ROC curves. The results indicate that the inclusion of colour information improves the segmentation performance.

show abstract

A color texture based visual monitoring system for automated surveillance

Cited by 23 publications

References 44 publications

New Brodatz-Based Image Databases for Grayscale Color and Multiband Texture Analysis

New Brodatz-Based Image Databases for Grayscale Color and Multiband Texture Analysis

Scenario-based query processing for video-surveillance archives

Experimentation on the Use of Chromaticity Features, Local Binary Pattern, and Discrete Cosine Transform in Colour Texture Analysis

Contact Info

Product

Resources

About