Rodent monitoring in biomedical laboratories is a time consuming and tedious task. Several automatic solutions that rely on different types of sensors have been proposed. Computer vision provides a significantly more universal and less intrusive solution. In this article we propose a new method to detect and classify three behaviors in rodents: Exploring, Rearing, and Static. The method uses Mo...

The interest on acquiring player and ball data during soccer games is increasing in several domains such as media or training. Consequently, tracking systems are becoming widely used for live data gathering. However, due to costs, stadium infrastructure, media rights etc. there is a trend for stand-alone mobile low-cost soccer tracking systems. The drawback of such systems is that generally onl...

The study of sign languages provides a wide field of applications for computer vision systems, but the analysis of such gestures often leads to complex 3D reconstructions or to ambiguities. In this paper, we describe the architecture of an image analysis system that performs sign language analysis by using a prediction/verification approach. The system integrates a model of the sign language’s ...

The recognition of people orientation in single images is still an open issue in several real cases, when the image resolution is poor, body parts cannot be distinguished and localized or motion cannot be exploited. However, the estimation of a person orientation, even an approximated one, could be very useful to improve people tracking and re-identification systems, or to provide a coarse alig...

The implementation of a Structure-from-Motion (SfM) pipeline from a synthetically generated scene as well as the investigation of the faithfulness of diverse reconstructions is the subject of this project. A series of different SfM reconstructions are implemented and their camera pose estimations are being contrasted with their respective ground truth locations. Finally, injection of ground tru...

We demonstrate how the problem of speaker diarization can be solved using both gesture and speaker parametric models. The novelty of our solution is that we approach the speaker diarization problem as a speaker recognition problem after learning speaker models from speech samples corresponding to gestures (the occurrence of gestures indicates the presence of speech and the location of gestures ...

Textual annotations enhance visualizations and provide additional information such as object names or measures, e.g. volumes or distances. They are essential for surgery planning, in particular for documentation and collaborative discussions. For optimal use, it is crucial that the relation between visualized objects and related annotations is unambiguous and easily perceived. We describe a fra...

Recently, different approaches for uncalibrated stereo have been suggested which permit projective reconstruction from multiple views. These use weak calibration which is represented by the epipolar geometry, and so no knowledge of the intrinsic or extrinsic camera parameters is required. In this paper we consider projective reconstructions from pairs of views, and compare a number of the avail...

There has been a recent and increasing interest in computer analysis and recognition of human motion. Previously we presented an efficient real-time approach for representing human motion using a compact “Motion History Image” (MHI). Recognition was achieved by statistically matching moment-based features. To address previous problems related to global analysis and limited recognition, we prese...