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In this paper, we address the problem of automatically detecting and tracking a variable number of persons in complex scenes using a monocular, potentially moving, uncalibrated camera. We propose a novel approach for multiperson tracking-by-detection in a particle filtering framework. In addition to final high-confidence detections, our algorithm uses the(More)
We propose a novel approach for multi-person tracking-by-detection in a particle filtering framework. In addition to final high-confidence detections, our algorithm uses the continuous confidence of pedestrian detectors and online trained, instance-specific classifiers as a graded observation model. Thus, generic object category knowledge is complemented by(More)
We present an algorithm for multi-person tracking-by-detection in a particle filtering framework. To address the unreliability of current state-of-the-art object detectors, our algorithm tightly couples object detection, classification, and tracking components. Instead of relying only on the final, sparse output from a detector, we additionally employ its(More)
BACKGROUND The laser-Doppler skin vasomotor reflex (SVmR) caused by tetanic stimulation of the ulnar nerve may be a test that can predict the haemodynamic response to tracheal intubation. A decrease in pulse wave amplitude (pulse wave reflex, PWR) may be an alternative index of this response. We compared the abilities of PWR and SVmR to predict the(More)
Pseudomonas sp. strain HBP1 Prp grew on 2-isopropylphenol as the sole carbon and energy source with a maximal specific growth rate of 0.14 h-1 and transient accumulation of isobutyric acid. Oxygen uptake experiments with resting cells and enzyme assays with crude-cell extracts showed that 2-isopropylphenol was catabolized via a broad-spectrum meta cleavage(More)
In this thesis we present history-based collaborative filtering, a novel approach to recommend unfamiliar music to users which them is nevertheless going to suit, in order to broaden theirs horizon of musical familiarity. We refer to people with similar music taste which experienced musical transitions when generating a new recommendation, and show that the(More)
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