E
Eduardo M. Pereira
Researcher at State University of Campinas
Publications - 19
Citations - 888
Eduardo M. Pereira is an academic researcher from State University of Campinas. The author has contributed to research in topics: Context (language use) & Motion estimation. The author has an hindex of 5, co-authored 19 publications receiving 365 citations. Previous affiliations of Eduardo M. Pereira include Deloitte & University of Porto.
Papers
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Journal ArticleDOI
Machine Learning Interpretability: A Survey on Methods and Metrics
TL;DR: A review of the current state of the research field on machine learning interpretability while focusing on the societal impact and on the developed methods and metrics is provided.
Journal ArticleDOI
Cross-layer classification framework for automatic social behavioural analysis in surveillance scenario
TL;DR: This paper addresses the topic of social semantic meaning in a well-defined surveillance scenario, namely shopping mall, and proposes new definitions of individual and group behaviour that consider environment context, a relational descriptor that emphasises position and attention-based characteristics, and a new classification approach based on mini-batches.
Journal ArticleDOI
Video-based social behavior recognition based on kernel relevance analysis
Jorge L. Fernández-Ramírez,Andrés Marino Álvarez-Meza,Eduardo M. Pereira,Álvaro-Ángel Orozco-Gutierrez,Germán Castellanos-Domínguez +4 more
TL;DR: The proposed KRAV method is an extension of the conventional CKA to mitigate the imbalance effect of unusual human behaviors and outperforms state-of-the-art results concerning the classification performance and number of employed features.
Book ChapterDOI
Motion Flow Tracking in Unconstrained Videos for Retail Scenario
TL;DR: Two motion tracking algorithms that combine features from crowd motion detection and multiple tracking are presented to build motion patterns and understand customer’s behavior under unconstrained video conditions.
Journal ArticleDOI
Towards a detailed anthropometric body characterization using the Microsoft Kinect.
Ana Domingues,Filipa Barbosa,Eduardo M. Pereira,Márcio Borgonovo dos Santos,Adérito Seixas,João Paulo Vilas-Boas,Joaquim Gabriel,Ricardo Vardasca,Ricardo Vardasca +8 more
TL;DR: A methodology is proposed and implemented for estimating anthropometric measures considering data provided by low-cost sensors, such as the Microsoft Kinect, and a more complete characterization of the whole body structure was achieved.