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One of the main challenges in computer vision is the automatic detection of specific object classes in images. Recent advances of object detection performance in the visible spectrum encourage the application of these approaches to data beyond the visible spectrum. In this paper, we show the applicability of a well known, local-feature based object detector(More)
In this paper, we approach the task of appearance based person re-identification for scenarios where no biometric features can be used. For that, we build on a person re-identification approach that uses the Implicit Shape Model (ISM) and SIFT features for re-identification. This approach builds identity models of persons during tracking and employs these(More)
In this paper, we present an approach for person re-identification in multi-camera networks. This approach employs the Implicit Shape Model and SIFT features for person re-identification. One important property of the re-identification approach is that it is closely coupled to a person detection and tracking and uses SIFT feature models which are built(More)
  • Dr. E. Walter, Ch. Staiger, +4 authors K. Jüngling
  • 1982
The induction of liver drug metabolism was investigated in five patients before and after the administration of 800 mg sulfinpyrazone daily for 4 weeks, by using antipyrine plasma-pharmacokinetics and by determining urinary excretion of 6-β-OH-cortisol and serum gamma-glutamyl-transpeptidase (GGT) activity. Antipyrine half-life was shortened in all patients(More)
In surveillance applications human operators are either confronted with a high cognitive load or monotonic time periods where the operator's attention rapidly decreases. Therefore, automatic high-level interpretation of image sequences gains increasing importance in assisting human operators. We present a generic hierarchical system that generates(More)
An important field in today's computer vision is person centric video analysis. The basis of this person centric analysis is the detection and tracking of people in video data. In many cases it is not sufficient to track people when they continuously appear in the cam-era's field of view, but to also reacquire a track after a person has left a field of view(More)
The automatic detection and tracking of pedestrians in imagery constitute important and challenging problems both in computer vision and driver assistance systems. We address these problems for the case of a forward looking monocular infrared camera under strong vehicle induced camera motion. An integrated detection & tracking strategy is introduced(More)
A fundamental problem in computer vision is the precise determination of correspondences between pairs of images. Many methods have been proposed which work very well for image data from one modality. However, with the wide availability of sensor systems with different spectral sensitivities there is growing demand to automatically fuse the information from(More)
This paper introduces a generic architecture for the fusion of perceptual processes and its application in real-time object tracking. In this architecture, the well known anchoring approach is, by integrating techniques from information fusion, extended to multi-modal anchoring so as to be applicable in a multi-process environment. The system architecture(More)