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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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Burghouts, G.J. (author), Schutte, K. (author)
Many human actions are correlated, because of compound and/or sequential actions, and similarity. Indeed, human actions are highly correlated in human annotations of 48 actions in the 4,774 videos from visint.org. We exploit such correlations to improve the detection of these 48 human actions, ranging from simple actions such as walk to complex...
conference paper 2012
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Lefter, I. (author), Burghouts, G.J. (author), Rothkrantz, L.J.M. (author)
The focus of this paper is finding a method to predict aggression using a multimodal system, given multiple unimodal features. The mechanism underlying multimodal sensor fusion is complex and not completely clear. We try to understand the process of fusion and make it more transparent. As a case study we use a database with audio-visual...
conference paper 2012
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Burghouts, G.J. (author), Eendebak, P.T. (author), Bouma, H. (author), ten Hove, R.J.M. (author)
This paper describes the TNO action recognition system that was used to generate the results for our submission to the competition track of the THUMOS ’13 challenge at ICCV ’13. This system deploys only the STIP features that were provided on the website of the challenge. A bag-of-features model is extended with three novelties
conference paper 2013
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Burghouts, G.J. (author), Bouma, H. (author), den Hollander, R.J.M. (author), van den Broek, S.P. (author), Schutte, K. (author)
We have developed a system that recognizes 48 human behaviors from video. The essential elements are (i) inference of the actors in the scene, (ii) assessment of event-related properties of actors and between actors, (iii) exploiting the event properties to recognize the behaviors. The performance of our recognizer approaches human performance,...
conference paper 2012
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Lefter, I. (author), Rothkrantz, L.J.M. (author), Burghouts, G. (author), Yang, Z. (author), Wiggers, P. (author)
Automatic detection of aggressive situations has a high societal and scientific relevance. It has been argued that using data from multimodal sensors as for example video and sound as opposed to unimodal is bound to increase the accuracy of detections. We approach the problem of multimodal aggression detection from the viewpoint of a human...
conference paper 2011
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Bowman, E.K. (author), Broome, B.D. (author), Holland, V.M. (author), Summers-Stay, D. (author), Rao, R.M. (author), Duselis, J. (author), Howe, J. (author), Madahar, B.K. (author), Boury-Brisset, A.C. (author), Forrester, B. (author), Kwantes, P. (author), Burghouts, G. (author), van Huis, J. (author), Mulayim, A.Y. (author)
This report summarizes the findings of an exploratory team of the North Atlantic Treaty Organization (NATO) Information Systems Technology panel into Content-Based Analytics (CBA). The team carried out a technical review into the current status of theoretical and practical developments of methods, tools and techniques supporting joint...
conference paper 2016
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Andersson, M. (author), Patino, L. (author), Burghouts, G.J. (author), Flizikowski, A. (author), Evans, M. (author), Gustafsson, D. (author), Petersson, H. (author), Schutte, K. (author), Ferryman, J. (author)
In this paper we present a set of activity recognition and localization algorithms that together assemble a large amount of information about activities on a parking lot. The aim is to detect and recognize events that may pose a threat to truck drivers and trucks. The algorithms perform zone-based activity learning, individual action recognition...
conference paper 2013
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van Eekeren, A.W.M. (author), Dijk, J. (author), Burghouts, G. (author)
Airborne platforms are recording large amounts of video data. Extracting the events which are needed to see is a timedemanding task for analysts. The reason for this is that the sensors record hours of video data in which only a fraction of the footage contains events of interest. For the analyst, it is hard to retrieve such events from the...
conference paper 2014
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Burghouts, G.J. (author), Eendebak, P.T. (author), Bouma, H. (author), Hove, R.J.M. (author)
In this paper, we summarize how the action recognition can be improved when multiple views are available. The novelty is that we explore various combination schemes within the robust and simple bag-of-words (BoW) framework, from early fusion of features to late fusion of multiple classifiers. In new experiments on the publicly available IXMAS...
conference paper 2014
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Sanromà, G. (author), Burghouts, G.J. (author), Schutte, K. (author)
Human behavior understanding from visual data has applications such as threat recognition. A lot of approaches are restricted to limited time actions, which we call short-term actions. Long-term behaviors are sequences of short-term actions that are more extended in time. Our hypothesis is that they usually present some structure that can be...
conference paper 2012
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Lefter, I. (author), Rothkrantz, L.J.M. (author), Burghouts, G.J. (author)
By analyzing a multimodal (audio-visual) database with aggressive incidents in trains, we have observed that there are no trivial fusion algorithms to successfully predict multimodal aggression based on unimodal sensor inputs. We proposed a fusion framework that contains a set of intermediate level variables (meta-features) between the low level...
conference paper 2012
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Lefter, I. (author), Burghouts, G.J. (author), Rothkrantz, L.J.M. (author)
We propose a new method for audio-visual sensor fusion and apply it to automatic aggression detection. While a variety of definitions of aggression exist, in this paper we see it as any kind of behavior that has a disturbing effect on others. We have collected multi- and unimodal assessments by humans, who have given aggression scores on a 3...
conference paper 2012
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Burghouts, G.J. (author), Eendebak, P.T. (author), Bouma, H. (author), ten Hove, R.J.M. (author)
Action recognition is a hard problem due to the many degrees of freedom of the human body and the movement of its limbs. This is especially hard when only one camera viewpoint is available and when actions involve subtle movements. For instance, when looked from the side, checking one’s watch may look very similar to crossing one’s arms. In this...
conference paper 2013
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Dijk, J. (author), Elands, P.J.M. (author), Burghouts, G. (author), Van Eekeren, A.W.M. (author)
In this paper we evaluate the added value of image interpretation techniques for EO sensors mounted on a UAV for operators in an operational setting. We start with evaluating the support by technology for strategic and tactical purposes in a real-time scenario. We discuss different variations regarding users, platforms and sensors, communication...
conference paper 2015
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Burghouts, G.J. (author), van den Broek, S.P. (author), ten Hove, R.J.M. (author)
Human actions are spatio-temporal patterns. A popular representation is to describe the action by features at interest points. Because the interest point detection and feature description are generic processes, they are not tuned to discriminate one particular action from the other. In this paper we propose a saliency measure for each individual...
conference paper 2013
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Burghouts, G.J. (author), Schutte, K. (author)
Amsterdam, The Netherlands, 27th of May 2010. The national security authorities call out to secure the area around the central train station. 150 Security officers, both military and police, are instructed to guard the area and to pick out those people with hostile intent. Although the officers were very effective in assessing people’s...
conference paper 2011
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Bouma, H. (author), Burghouts, G.J. (author), de Penning, L. (author), Hanckmann, P. (author), ten Hove, R.J.M. (author), Korzec, S. (author), Kruithof, M.C. (author), Landsmeer, S. (author), van Leeuwen, C.J. (author), van den Broek, S.P. (author), Halma, A.H.R. (author), den Hollander, R.J.M. (author), Schutte, K. (author)
Ground surveillance is normally performed by human assets, since it requires visual intelligence. However, especially for military operations, this can be dangerous and is very resource intensive. Therefore, unmanned autonomous visual-intelligence systems are desired. In this paper, we present an improved system that can recognize actions of a...
conference paper 2013
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Dijk, J. (author), van Eekeren, A.W.M. (author), Rajadell Rojas, O. (author), Burghouts, G.J. (author), Schutte, K. (author)
Surveillance and reconnaissance tasks are currently often performed using an airborne platform such as a UAV. The airborne platform can carry different sensors. EO/IR cameras can be used to view a certain area from above. To support the task from the sensor analyst, different image processing techniques can be applied on the data, both in real...
conference paper 2013
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Burghouts, G.J. (author), Schutte, K. (author)
We investigate how human action recognition can be improved by considering spatio-temporal layout of actions. From literature, we adopt a pipeline consisting of STIP features, a random forest to quantize the features into histograms, and an SVM classifier. Our goal is to detect 48 human actions, ranging from simple actions such as walk to...
article 2013
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