Searched for: subject:"Object%5C+recognition"
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Burghouts, G.J. (author), Hillerström, F.H.J. (author)
Current object recognition techniques are based on deep learning and require substantial training samples in order to achieve a good performance. Nonetheless, there are many applications in which no (or only a few) training images of the targets are available, whilst they are well-known by domain experts. Zero-shot learning is used in use cases...
conference paper 2021
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Kleinrouweler, J.W. (author), Potetsianakis, E. (author), D'Acunto, L. (author)
This paper presents the design and evaluation of a localized crowd-sourced multimedia production and distribution system to enable today's mobile producers of multimedia content to serve their content in real-time to other nearby users, while at the same time drastically reducing the bandwidth as compared to traditional crowd-sourced multimedia...
conference paper 2020
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Turkoglu, M.O. (author), ter Haar, F.B. (author), van der Stap, N. (author)
3D visual understanding of the surrounding environment is vital for successful mobile robotic tasks such as autonomous navigation or general object interaction. However, current systems have limited perceptual capabilities in the sense that they are not very well adaptable to unknown environments. Human operators, on the other hand, are experts...
conference paper 2018
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Kruithof, M.C. (author), Bouma, H. (author), Fischer, N.M. (author), Schutte, K. (author)
Object recognition is important to understand the content of video and allow flexible querying in a large number of cameras, especially for security applications. Recent benchmarks show that deep convolutional neural networks are excellent approaches for object recognition. This paper describes an approach of domain transfer, where features...
conference paper 2016
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Bouma, H. (author), Eendebak, P.T. (author), Schutte, K. (author), Azzopardi, G. (author), Burghouts, G.J. (author)
Object recognition and localization are important to automatically interpret video and allow better querying on its content. We propose a method for object localization that learns incrementally and addresses four key aspects. Firstly, we show that for certain applications, recognition is feasible with only a few training samples. Secondly, we...
conference paper 2015
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Azzopardi, G. (author), Petkov, N. (author)
The remarkable abilities of the primate visual system have inspired the construction of computational models of some visual neurons. We propose a trainable hierarchical object recognition model, which we call S-COSFIRE (S stands for Shape and COSFIRE stands for Combination Of Shifted FIlter REsponses) and use it to localize and recognize objects...
article 2014
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Azzopardi, G. (author), Petkov, N. (author)
Background: Keypoint detection is important for many computer vision applications. Existing methods suffer from insufficient selectivity regarding the shape properties of features and are vulnerable to contrast variations and to the presence of noise or texture. Methods: We propose a trainable filter which we call Combination Of Shifted FIlter...
article 2013
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Toet, A. (author)
The predictions of 13 computational bottom-up saliency models and a newly introduced Multiscale Contrast Conspicuity (MCC) metric are compared with human visual conspicuity measurements. The agreement between human visual conspicuity estimates and model saliency predictions is quantified through their rank order correlation. The maximum of the...
article 2011
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Gunawan, L. (author), Alers, H. (author), Brinkman, W.-P. (author), Neerincx, M. (author), TNO Defensie en Veiligheid (author)
Motivation - A situation map that shows the overview of a disaster situation serves as a valuable tool for disaster response teams. It helps them orientate their location and make disaster response decisions. It is, however, a quite complicated task to rapidly generate a comprehensive situation map of a disaster area. In this paper, we report on...
conference paper 2010
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Halma, A.H.R. (author), ter Haar, F.B. (author), Bovenkamp, E.G.P. (author), Eendebak, P.T. (author), van Eekeren, A.W.M. (author), TNO Defensie en Veiligheid TNO Industrie en Techniek (author)
A robust and efficient method is presented for recognizing objects in unstructured 3D point clouds acquired from photos. The method first finds the locations of target objects using single spin image matching and then retrieves the orientation and quality of the match using the iterative closest point (ICP) algorithm. In contrast to classic use...
conference paper 2010
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Burghouts, G.J. (author), Smeulders, A.W.M. (author), Geusebroek, J.-M. (author), TNO Defensie en Veiligheid (author), DenV (author)
Assessing similarity between features is a key step in object recognition and scene categorization tasks. We argue that knowledge on the distribution of distances generated by similarity functions is crucial in deciding whether features are similar or not. Intuitively one would expect that similarities between features could arise from any...
conference paper 2009
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TNO Defensie en Veiligheid (author), Pinkus, A.R. (author), Toet, A. (author), Task, H.L. (author)
This effort we acquired and registered a multi-spectral dynamic image test set with the intent of using the imagery to assess the operational effectiveness of static and dynamic image fusion techniques for a range of relevant military tasks. This paper describes the image acquisition methodology, the planned human visual performance task...
conference paper 2009
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van Eekeren, A.W.M. (author), Schutte, K. (author), van Vliet, L.J. (author), TNO Defensie en Veiigheid (author)
Moving objects are often the most interesting parts in image sequences. When images from a camera are undersampled and the moving object is depicted small on the image plane, processing afterwards may help to improve the visibility as well as automatic recognition of the object. This paper presents an approach which performs Super-Resolution (SR...
conference paper 2008
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TNO Kwaliteit van Leven (author), Abildayeva, K. (author), Berbée, J.F.P. (author), Blokland, A. (author), Jansen, P.J. (author), Hoek, F.J. (author), Meijer, O. (author), Lütjohann, D. (author), Gautier, T. (author), Pillot, T. (author), Vente, J.de (author), Havekes, L.M. (author), Ramaekers, F.C.S. (author), Kuipers, F. (author), Rensen, P.C.N. (author), Mulder, M. (author)
The H2 allele of APOC1, giving rise to increased gene expression of apolipoprotein C-I (apoC-I), is in genetic disequilibrium with the APOE4 allele and may provide a major risk factor for Alzheimer's disease (AD). We found that apoC-I protein is present in astrocytes and endothelial cells within hippocampal regions in both human control and AD...
article 2008
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Brümmer, N. (author), Burget, L. (author), Černocký, J.H. (author), Glembek, O. (author), Grézl, F. (author), Karafiát, M. (author), van Leeuwen, D.A. (author), Matějka, P. (author), Schwarz, P. (author), Strasheim, A. (author), TNO Defensie en Veiligheid (author)
This paper describes and discusses the "STBU" speaker recognition system, which performed well in the NIST Speaker Recognition Evaluation 2006 (SRE). STBU is a consortium of four partners: Spescom DataVoice (Stellenbosch, South Africa), TNO (Soesterberg, The Netherlands), BUT (Brno, Czech Republic), and the University of Stellenbosch ...
article 2007
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Michel, S. (author), de Ruiter, C.J. (author), Hogervorst, M.A. (author), Koller, S.M. (author), Moerland, R. (author), Schwaninger, R.A. (author), TNO Defensie en Veiligheid (author)
X-Ray screening of passenger bags is an essential component of airport security. Large investments into technology have been made in recent years. However, the most expensive equipment is of limited value, if th humans who operate it are not selected and trained appropriately. Scientific studies have shown that human performance in x-ray image...
conference paper 2007
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van Erp, J.B.F. (author), Kooi, F.L. (author), Bronkhorst, A. (author), van Leeuwen, D.L. (author), van Esch, M. (author), van Wijngaarden, S.J. (author), TNO Defensie en Veiligheid (author)
Our sensory modalities are specialized in perceiving different attributes of an object or event. This fact is the basis of the approach towards multimodal interfaces we describe in this paper. We rated the match between 20 possible information attributes (common in human computer interaction) and the visual, auditory and tactile sensory systems....
conference paper 2006
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Toet, A. (author), TNO Defensie en Veiligheid (author)
We present a method to give single band intensified nightvision imagery a natural day-time color appearance. For input, the method requires a true color RGB source image and a grayscale nightvision target image. The source and target image are both transformed into a perceptually decorrelated color space. In this color space a best matching...
article 2005
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Smith, A.J.E. (author), Chesworth, J. (author), Greidanus, H. (author), TNO Defensie en Veiligheid (author)
A ship detection algorithm is developed that uses Envisat ASAR imagery in alternating polarisation mode. From airborne data it is shown that of the two co-polarisations, HH is preferred over VV because of a larger ship-to-clutter ratio. Combining the HH and HV images of alternating polarisation mode, it is found that the correlation between the...
conference paper 2005
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de Jong, A.N. (author), Franken, E.M. (author), Winkel, J. (author), TNO Fysisch en Elektronisch Laboratorium (author)
This paper deals with measurement and characterization of IR sensor performance. Alternative methods have been investigated in order to determine the performance more reproducibly and accurately. Furthermore, the new methodologies reduce the subjectivity of the performance parameters such as the standard minimum resolvable temperature difference...
article 2003
Searched for: subject:"Object%5C+recognition"
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