359644
Analysis of Human Locomotion based on Partial Measurements
A lot of computer vision applications have to deal with occlusions. In such settings only a subset of the features of interest can be observed, i.e. only incomplete or partial measurements are available. In this article we show how a learned statistical model can be used to make a prediction of the unknown (occluded) features. The probabilistic nature of the framework also allows to compute the remaining uncertainty given an incomplete observation. The resulting posterior probability distribution can then be used for inference. Additional unknowns such as alignment or scale are easily incorporated into the framework. Instead of computing the alignment in a preprocessing step, it is left as an additional uncertainty, similar to the uncertainty introduced by the missing values of the measurement. It is shown how the technique can be applied to the analysis of human loco-motion, when body parts are occluded. Experiments show how the unobserved body locations are predicted and how it can be inferred whether the measurements come from a running or walking sequence.
1555335
Video Mining with Frequent Itemset Configurations
We present a method for mining frequently occurring objects and scenes from videos. Object candidates are detected by finding recurring spatial arrangements of affine covariant regions. Our mining method is based on the class of frequent itemset mining algorithms, which have proven their efficiency in other domains, but have not been applied to video mining before. In this work we show how to express vector-quantized features and their spatial relations as itemsets. Furthermore, a fast motion segmentation method is introduced as an attention filter for the mining algorithm. Results are shown on real world data consisting of music video clips.
18072110
Fast Compact City Modeling for Navigation Pre-Visualization
Nowadays, GPS-based car navigation systems mainly use speech and aerial views of simplified road maps to guide drivers to their destination. However, drivers often experience difficulties in linking the simple 2D aerial map with the visual impression that they get from the real environment, which is inherently ground-level based. Therefore, supplying realistically textured 3D city models at ground-level proves very useful for pre-visualizing an upcoming traffic situation. Because this pre-visualization can be rendered from the expected future viewpoints of the driver, the latter will more easily understand the required maneuver. 3D city models can be reconstructed from the imagery recorded by surveying vehicles. The vastness of image material gathered by these vehicles, however, puts extreme demands on vision algorithms to ensure their practical usability. Algorithms need to be as fast as possible and should result in compact, memory efficient 3D city models for future ease of distribution and visualization. For the considered application, these are not contradictory demands. Simplified geometry assumptions can speed up vision algorithms while automatically guaranteeing compact geometry models. We present a novel city modeling framework which builds upon this philosophy to create 3D content at high speed which could allow for pre-visualization of any conceivable traffic situation by car navigation modules.
41103437
Consistent specification of interface suites in UML

Abstract.The paper motivates and describes a model oriented approach for consistent specification of interface suites in UML. An interface suite is a coherent collection of interfaces defining interactions that transcend component boundaries. The specification of interface suites contains diagrammatic views and documentation, but it is extended with templates for structured specifications deriving from the ISpec approach. To guarantee that the specification views, documentation and templates are consistent, a specification model has been constructed. The model contains both structural and behavioural information, represented in the form of sequences of carefully designed tuples. The model provides the underlying structure for the tool supporting the design process. The tool directs the designer to specify all elements of the model in a consistent way. The specification is collected both by customized specification templates and by diagrams. The documentation and the diagram elements – both derived from the template information – are automatically generated. This prevents errors and provides specification consistency.
14100761
Modeling scenes with local descriptors and latent aspects
We present a new approach to model visual scenes in image collections, based on local invariant features and probabilistic latent space models. Our formulation provides answers to three open questions:(l) whether the invariant local features are suitable for scene (rather than object) classification; (2) whether unsupennsed latent space models can be used for feature extraction in the classification task; and (3) whether the latent space formulation can discover visual co-occurrence patterns, motivating novel approaches for image organization and segmentation. Using a 9500-image dataset, our approach is validated on each of these issues. First, we show with extensive experiments on binary and multi-class scene classification tasks, that a bag-of-visterm representation, derived from local invariant descriptors, consistently outperforms state-of-the-art approaches. Second, we show that probabilistic latent semantic analysis (PLSA) generates a compact scene representation, discriminative for accurate classification, and significantly more robust when less training data are available. Third, we have exploited the ability of PLSA to automatically extract visually meaningful aspects, to propose new algorithms for aspect-based image ranking and context-sensitive image segmentation.
8972364
A Specification Model for Interface Suites
The paper describes a model and tool support for a UMLbased specification approach, extending UML with templates for structured specifications deriving from the ISpec approach. The approach is component-oriented where the unit of description is an interface suite: a coherent collection of interfaces defining interactions that transcend component boundaries. To handle complexity, descriptions from various points of view are necessary, expressed by UML diagrams, templates, etc. The issue is to ensure that the views are consistent. For this, we provide a model to integrate the views. The model is sequence-based; the elements of the sequences are carefully designed tuples that reflect the interface suite approach. Abstractions from the model reflect the views. The model provides the underlying structure for tooling. We developed extensions to Rational Rose by customizing specifications, automating diagram generation and enabling some consistency checks.