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Author |
Carles Fernandez; Pau Baiget; Jordi Gonzalez |
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Title |
Cognitive-Guided Semantic Exploitation in Video Surveillance Interfaces |
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Conference Article |
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2008 |
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First International Workshop on Tracking Humans for the Evaluation of their Motion in Image Sequences. BMVC 2008, |
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53–60 |
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Leeds (UK) |
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978-84-935251-9-4 |
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THEMIS’ |
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ISE @ ise @ FBG2008 |
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1010 |
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Author |
Carles Fernandez; Pau Baiget; Xavier Roca; Jordi Gonzalez |
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Title |
Semantic Annotation of Complex Human Scenes for Multimedia Surveillance |
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Conference Article |
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2007 |
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AI* Artificial Intelligence and Human–Oriented Computing. 10th Congress of the Italian Association for Artificial Intelligence, |
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4733 |
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698–709 |
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Roma (Italy) |
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AI |
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no |
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ISE @ ise @ FBR2007a |
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920 |
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Author |
Carles Fernandez; Pau Baiget; Xavier Roca; Jordi Gonzalez |
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Title |
Natural Language Descriptions of Human Behavior from Video Sequences |
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Conference Article |
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Year |
2007 |
Publication |
Advances in Artificial Intelligence, 30th Annual Conference on Artificial Intelligence |
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4667 |
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279–292 |
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KI |
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ISE @ ise @ FBR2007b |
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921 |
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Author |
Carles Fernandez; Pau Baiget; Xavier Roca; Jordi Gonzalez |
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Title |
Interpretation of Complex Situations in a Semantic-based Surveillance Framework |
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Journal |
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2008 |
Publication |
Signal Processing: Image Communication, Special Issue on Semantic Analysis for Interactive Multimedia Services |
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23 |
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7 |
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554-569 |
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Keywords |
Cognitive vision system; Situation analysis; Applied ontologies |
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Abstract |
The integration of cognitive capabilities in computer vision systems requires both to enable high semantic expressiveness and to deal with high computational costs as large amounts of data are involved in the analysis. This contribution describes a cognitive vision system conceived to automatically provide high-level interpretations of complex real-time situations in outdoor and indoor scenarios, and to eventually maintain communication with casual end users in multiple languages. The main contributions are: (i) the design of an integrative multilevel architecture for cognitive surveillance purposes; (ii) the proposal of a coherent taxonomy of knowledge to guide the process of interpretation, which leads to the conception of a situation-based ontology; (iii) the use of situational analysis for content detection and a progressive interpretation of semantically rich scenes, by managing incomplete or uncertain knowledge, and (iv) the use of such an ontological background to enable multilingual capabilities and advanced end-user interfaces. Experimental results are provided to show the feasibility of the proposed approach. |
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no |
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ISE @ ise @ FBR2008 |
Serial |
954 |
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Author |
Carles Fernandez; Pau Baiget; Xavier Roca; Jordi Gonzalez |
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Title |
Exploiting Natural Language Generation in Scene Interpretation |
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Book Chapter |
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Year |
2009 |
Publication |
Human–Centric Interfaces for Ambient Intelligence |
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4 |
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71–93 |
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Elsevier Science and Tech |
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no |
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Call Number |
ISE @ ise @ FBR2009 |
Serial |
1212 |
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Author |
Carles Fernandez; Jordi Gonzalez |
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Title |
Ontology for Semantic Integration in a Cognitive Surveillance System |
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Conference Article |
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Year |
2007 |
Publication |
Semantic Multimedia, 2nd International Conference on Semantics and Digital Media Technologies |
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Volume |
4816 |
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263–263 |
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Genova (Italy) |
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SAMT’07 |
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ISE |
Approved |
no |
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Call Number |
ISE @ ise @ FeG2007 |
Serial |
919 |
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Author |
Carles Fernandez; Jordi Gonzalez |
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Title |
A Multilingually-Extensible Module for Natural Language Generation |
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Report |
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Year |
2008 |
Publication |
CVC Technical Report #120 |
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Barcelona, Spain |
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no |
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Call Number |
ISE @ ise @ FeG2008 |
Serial |
1146 |
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Author |
Carles Fernandez; Jordi Gonzalez; Xavier Roca |
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Title |
Automatic Learning of Background Semantics in Generic Surveilled Scenes |
Type |
Conference Article |
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Year |
2010 |
Publication |
11th European Conference on Computer Vision |
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Volume |
6313 |
Issue |
II |
Pages |
678–692 |
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Abstract |
Advanced surveillance systems for behavior recognition in outdoor traffic scenes depend strongly on the particular configuration of the scenario. Scene-independent trajectory analysis techniques statistically infer semantics in locations where motion occurs, and such inferences are typically limited to abnormality. Thus, it is interesting to design contributions that automatically categorize more specific semantic regions. State-of-the-art approaches for unsupervised scene labeling exploit trajectory data to segment areas like sources, sinks, or waiting zones. Our method, in addition, incorporates scene-independent knowledge to assign more meaningful labels like crosswalks, sidewalks, or parking spaces. First, a spatiotemporal scene model is obtained from trajectory analysis. Subsequently, a so-called GI-MRF inference process reinforces spatial coherence, and incorporates taxonomy-guided smoothness constraints. Our method achieves automatic and effective labeling of conceptual regions in urban scenarios, and is robust to tracking errors. Experimental validation on 5 surveillance databases has been conducted to assess the generality and accuracy of the segmentations. The resulting scene models are used for model-based behavior analysis. |
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Crete (Greece) |
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Springer Berlin Heidelberg |
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0302-9743 |
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978-3-642-15551-2 |
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ECCV |
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ISE |
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no |
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ISE @ ise @ FGR2010 |
Serial |
1439 |
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Author |
Carles Fernandez; Xavier Roca; Jordi Gonzalez |
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Title |
Providing Automatic Multilingual Text Generation to Artificial Cognitive Systems |
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2008 |
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ISE @ ise @ FRG2008 |
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1021 |
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Author |
Jordi Gonzalez; Thomas B. Moeslund |
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Title |
Tracking Humans for the Evaluation of their Motion in Image Sequences |
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2008 |
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First International Workshop, THEMIS |
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Leeds (UK) |
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978-84-935251-9-4 |
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ISE @ ise @ GMW2008 |
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1002 |
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Author |
Jordi Gonzalez |
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Title |
Action recognition in application domains |
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1999 |
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CVC Technical Report #13 |
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CVC (UAB) |
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ISE @ ise @ Gon1999 |
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357 |
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Jordi Gonzalez |
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Title |
Human Sequence Evaluation: the Key-frame Approach |
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2004 |
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PhD Thesis, Universitat Autonoma de Barcelona-CVC |
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Ph.D. thesis |
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Xavier Roca;Javier Varona |
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ISE @ ise @ Gon2004 |
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362 |
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Author |
Jordi Gonzalez; Dani Rowe; Juan Andrade; Juan J. Villanueva |
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Title |
Efficient Management of Multiple Agent Tracking Through Observation Handling |
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Miscellaneous |
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2006 |
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6th IASTED International Conference on Visualization, Imaging and Image Processing (VIIP´06) |
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Palma de Mallorca (Spain) |
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ISE @ ise @ GRA2006 |
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662 |
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S. Garcia; Dani Rowe; Jordi Gonzalez; Juan J. Villanueva |
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Title |
Articulated Object Modelling Using Neural Gas Networks |
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2005 |
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5th IASTED International Conference on Visualization, Imaging and Image Processing (VIIP’2005) |
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Benidorm (Spain) |
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ISE @ ise @ GRG2005 |
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606 |
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Jordi Gonzalez; Dani Rowe; Javier Varona; Xavier Roca |
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Title |
Understanding Dynamic Scenes based on Human Sequence Evaluation |
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Journal Article |
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Year |
2009 |
Publication |
Image and Vision Computing |
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IMAVIS |
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27 |
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10 |
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1433–1444 |
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Image Sequence Evaluation; High-level processing of monitored scenes; Segmentation and tracking in complex scenes; Event recognition in dynamic scenes; Human motion understanding; Human behaviour interpretation; Natural-language text generation; Realistic demonstrators |
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Abstract |
In this paper, a Cognitive Vision System (CVS) is presented, which explains the human behaviour of monitored scenes using natural-language texts. This cognitive analysis of human movements recorded in image sequences is here referred to as Human Sequence Evaluation (HSE) which defines a set of transformation modules involved in the automatic generation of semantic descriptions from pixel values. In essence, the trajectories of human agents are obtained to generate textual interpretations of their motion, and also to infer the conceptual relationships of each agent w.r.t. its environment. For this purpose, a human behaviour model based on Situation Graph Trees (SGTs) is considered, which permits both bottom-up (hypothesis generation) and top-down (hypothesis refinement) analysis of dynamic scenes. The resulting system prototype interprets different kinds of behaviour and reports textual descriptions in multiple languages. |
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ISE @ ise @ GRV2009 |
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1211 |
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