Luciano Oliveira

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This work presents the implementation of a computational method for Human Movement Analysis based on a notational system by Laban using a Bayesian framework. The research field of computational Human Movement Analysis is lacking a general underlying modeling language. A semantic descriptor allows to pose the classification task as a problem to recognize a(More)
A single feature extractor-classifier is not usually able to deal with the diversity of multiple image scenarios. Therefore, integration of features and classifiers can bring benefits to cope with this problem, particularly when the parts are carefully chosen and synergistically combined. In this paper, we address the problem of pedestrian detection by a(More)
Fusion of laser and vision in object detection has been accomplished by two main approaches: (1) independent integration of sensor-driven features or sensor-driven classifiers, or (2) a region of interest (ROI) is found by laser segmentation and an image classifier is used to name the projected ROI. Here, we propose a novel fusion approach based on semantic(More)
LIDAR-based object detection usually relies on geometric feature extraction, followed by a generative or discriminative classification approach. Instead, we propose to change the way of detecting objects using LIDAR by means of not only a featureless approach, but also inferring context-aware relations of object parts. For the first feature, a(More)
This paper proposes a novel deep learning architecture for person re-identification. The proposed network is based on a coarse-to-fine learning (CFL) approach, attempting to acquire a generic-to-specific knowledge throughout a transfer learning process. The core of the method relies on a hybrid network composed of a convolutional neural network and a deep(More)
This chapter describes detection and tracking of moving objects (DATMO) for purposes of autonomous driving. DATMO provides awareness of road scene participants, which is important in order to make safe driving decisions and abide by the rules of the road. Three main classes of DATMO approaches are identified and discussed. First is the traditional approach,(More)
AIMS The present study evaluated the effects of ovariectomy on heart rate and arterial pressure variability and cardiac baroreflex sensitivity (BRS) in female spontaneously hypertensive (SHR) and Wistar-Kyoto rats (WKY). MAIN METHODS Sham-surgery animals were used as control. Sixteen weeks after ovariectomy or sham-surgery, animals were recorded. Time(More)
Even though there are many reasons that can lead to people being overweight, experts agree that ingesting more calories than needed is one of them. But besides the appearance issue, being overweight is actually a medical concern because it can seriously affect a person0s health. Losing weight then becomes an important goal, and one way to achieve it, is to(More)
The most standard image object detectors are usually comprised of one or multiple feature extractors or classifiers within a sliding window framework. Nevertheless, this type of approach has demonstrated a very limited performance under datasets of cluttered scenes and real life situations. To tackle these issues, LIDAR space is exploited here in order to(More)