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Burghouts, G.J. (author), Kruithof, M.C. (author), Huizinga, W. (author), Schutte, K. (author)Learning object detection models with a few labels, is possible due to ingenious few-shot techniques, and due to clever selection of images to be labeled. Few-shot techniques work with as few as 1 to 10 randomized labels per object class. We are curious if performance of randomized label selection can be improved by selecting 1 to 10 labels per...conference paper 2022
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de Boer, M. (author), Schutte, K. (author), Kraaij, W. (author)[No abstract available]conference paper 2020
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Lu, Y.J. (author), Zhang, H. (author), Ngo, C.W. (author), de Boer, M. (author), Schavemaker, J. (author), Schutte, K. (author), Kraaij, W. (author)0-Shot System - The simple exact matching performs the best - The quality of concepts selected to represent an event is more important than quantity - It's an open problem of how to harness the ontology-based mapping MER System - In key evidence localization, we emphasize the event relevancy first, then the hot concepts - We recommend three...conference paper 2020
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van den Hoogen, B. (author), Uijens, W. (author), den Hollander, R. (author), Huizinga, W. (author), Dijk, J. (author), Schutte, K. (author)Automatic detection and tracking of persons and vehicles can greatly increase situational awareness in many military applications. Various methods for detection and tracking have been proposed so far, both for rule-based and learning approaches. With the advent of deep learning, learning approaches generally outperform rule-based approaches. Pre...conference paper 2020
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van der Stap, N. (author), Benoist, K. (author), Schutte, K. (author)This paper shows the Netherlands contribution to NATO SET-240 on Exploitation of Longwave Infrared Airborne Hyperspectral Data, that focusses on the detection of soil disturbances, buried objects, and nonburied (surface) objects. Together with other hyperspectral feasibility research on maritime target detection and machine learning. Hyperbolic...conference paper 2020
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Boehrer, N. (author), Gabriel, A. (author), Brandt, A. (author), Uijens, W.R. (author), Kampmeijer, L. (author), van der Stap, N. (author), Schutte, K. (author)With the latest advances in image sensor technology, cameras are able to generate video with tens of megapixels per frame. These high resolution videos streams offer great potential to be used in the surveillance domain. For ground based systems, gigapixel streams are already used with great effect as illustrated by the ICME 2019 crowd counting...conference paper 2020
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Nieuwenhuizen, R.P.J. (author), Dijk, J. (author), Schutte, K. (author)Long-range imaging with visible or infrared observation systems is typically hampered by atmospheric turbulence. Software-based turbulence mitigation methods aim to stabilize and sharpen such recorded image sequences based on the image data only. Although successful restoration has been achieved on static scenes in the past, a significant...article 2019
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Dijk, J. (author), Schutte, K. (author), Oggero, S. (author)Application of different Artificial Intelligence technologies is increasing over the past couple of years. At a high conceptual level, we can divide these technologies in two different categories: symbolic and sub-symbolic. The term “Hybrid AI” denotes the combination of symbolic and sub-symbolic AI. By combining both semantic reasoning and data...conference paper 2019
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Nieuwenhuizen, R.P.J. (author), Schottner, M. (author), Pruim, R.H.R. (author), van Dijk, R. (author), van der Stap, N. (author), Schutte, K. (author)Hyperspectral imaging sensors acquire images in a large number of spectral bands, unlike traditional electro-optical and infrared sensors which sample only one or few bands. Hyperspectral mosaic sensors acquire an image of all spectral bands in one shot. Using a patterned array of spectral filters they measure different wavelength bands at...conference paper 2019
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Huizinga, W. (author), van Opbroek, A.G. (author), Raimon, H.R. (author), Pruim, R.H.R. (author), den Hollander, R.J.M. (author), van den Broek, S.P. (author), van den Schook, E.S. (author), Schutte, K. (author), van den Stap, N. (author), Dijk, J. (author)Imaging systems can be used to obtain situational awareness in maritime situations. Important tools for these systems are automatic detection and tracking of objects in the acquired imagery, in which numerous methods are being developed. When designing a detection or tracking algorithm, its quality should be ensured by a comparison with existing...article 2019
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Lloyd, C. (author), Mannucci, T. (author), Bouma, H. (author), Schutte, K. (author), Huizing, A. (author)In recent years advances in machine learning methods such as deep learning has led to significant improvements in our ability to track people and vehicles, and to recognise specific individuals. Such technology has enormous potential to enhance the performance of image-based security systems. However, wide-spread use of such technology has...conference paper 2019
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Bouma, H. (author), Schutte, K. (author), ten Hove, R.J.M. (author), Burghouts, G.J. (author), Baan, J. (author)Surveillance systems are essential for the protection of military compounds and critical infrastructures. Automatic recognition of suspicious activities can augment human operators to find relevant threats. Common solutions for behavior analysis or action recognition require large amounts of training data. However, suspicious activities and...conference paper 2018
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van der Stap, N. (author), van Opbroek, A.G. (author), Huizinga, W. (author), Wilmer, M.M.G. (author), van den Broek, S.P. (author), Pruim, R.H.R. (author), den Hollander, R.J.M. (author), Schutte, K. (author), Dijk, J. (author)Detecting maritime targets with electro-optical sensors is an active area of research. One current trend is to automate target detection through image processing or computer vision. Automation of target detection will decrease the number of people required for lower-level tasks, which frees capacity for higher-level tasks. A second trend is that...conference paper 2018
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Nieuwenhuizen, R.P.J. (author), Bouwman, D.D. (author), Schutte, K. (author)High resolution images are critical for a wide variety of military detection, recognition and identification tasks. Super-resolution reconstruction algorithms aim to enhance the image resolution beyond the capability of the imaging system being used. Until recently, undersampling of the optical signal on the image sensor has been the key factor...conference paper 2018
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Nieuwenhuizen, R.P.J. (author), Kruithof, M. (author), Schutte, K. (author)High resolution imagery is of crucial importance for the performance on visual recognition tasks. Super-resolution (SR) reconstruction algorithms aim to enhance the image resolution beyond the capability of the image sensor being used. Traditional SR algorithms approach this inverse problem using physical models for the image formation combined...conference paper 2017
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de Boer, M.H.T. (author), Lu, Y.J. (author), Zhang, H. (author), Schutte, K. (author), Ngo, C.W. (author), Kraaij, W. (author)Searching in digital video data for high-level events, such as a parade or a car accident, is challenging when the query is textual and lacks visual example images or videos. Current research in deep neural networks is highly beneficial for the retrieval of high-level events using visual examples, but without examples it is still hard to (1)...article 2017
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de Boer, M. (author), Pingen, G. (author), Knook, D. (author), Schutte, K. (author), Kraaij, W. (author)In content based video retrieval videos are often indexed with semantic labels (concepts) using pre-trained classifiers. These pre-trained classifiers (concept detectors), are not perfect, and thus the labels are noisy. Additionally, the amount of pre-trained classifiers is limited. Often automatic methods cannot represent the query adequately...article 2017
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de Boer, M.H.T. (author), Escher, C. (author), Schutte, K. (author)One of the challenges in Video Event Retrieval, the field in which (a sequence of frames with) high-level events are retrieved from a set of videos, is to model the temporal structure. One way to incorporate this information is using ANDOR graphs, which is a type of graphical model consisting of layers with AND nodes and OR nodes. We introduce...conference paper 2017
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Schutte, K. (author), Burghouts, G. (author), van der Stap, N. (author), Westerwoudt, V.L. (author), Bouma, H. (author), Kruithof, M.C. (author), Baan, J. (author), ten Hove, R.J.M. (author)The bottleneck in situation awareness is no longer in the sensing domain but rather in the data interpretation domain, since the number of sensors is rapidly increasing and it is not affordable to increase human data-analysis capacity at the same rate. Automatic image analysis can assist a human analyst by alerting when an event of interest...conference paper 2016
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van den Broek, S.P. (author), Nieuwenhuizen, R.P.J. (author), Fischer, N.M. (author), ter Haar, F.B. (author), Baan, J. (author), Van Der Stap, N. (author), Dijk, J. (author), Schutte, K. (author)Naval ships have camera systems available to assist in performing their operational tasks. Some include automatic detection and tracking, assisting an operator by keeping a ship in view or by keeping collected information about ships. Tracking errors limit the use of camera information. When keeping a ship in view, an operator has to re-Target a...conference paper 2016