ARDOP: Robust and Discriminatory Approaches to People Observation

Agency:
fapemig

The automatic understanding of human activities in videos is of great interest because it allows the monitoring of environments based on the analysis of the interaction between individuals and their behaviors. In this way, new technologies to prevent accidents and to identify suspicious behavior can be developed, thus generating benefits for society. For human activities to be analyzed automatically, tasks such as detection, recognition, tracking and re-identification of individuals, as well as recognition of individual actions must be dealt with accurately and efficiently. These tasks comprise the subarea of ​​computer vision called people-watching, which deals with the analysis of images and videos containing humans. This project aimed at handling problems related to the observation of people by focusing on robust and discriminatory approaches so that the amount of non-accurate results is reduced and problems of higher level, such as recognition of activities, can be solved, thus allowing the development of applications for automatic monitoring of environments.

Ardop

Contributions generated from this research…

  • Softwares

  • Publications

Antonio Carlos Nazare Junior

A Scalable and Versatile Framework for Smart Video Surveillance Masters Thesis

Federal University of Minas Gerais, 2014.

Abstract | Links | BibTeX

Victor Hugo Cunha de Melo

Fast and Robust Optimization Approaches for Pedestrian Detection Masters Thesis

Federal University of Minas Gerais, 2014.

Abstract | Links | BibTeX

Antonio Carlos Nazare Junior; Cassio Elias Santos dos Junior; Renato Ferreira; William Robson Schwartz

Smart Surveillance Framework: A Versatile Tool for Video Analysis Inproceedings

In: IEEE Winter Conference on Applications of Computer Vision, pp. 753–760, 2014.

Links | BibTeX

Cassio Elias Santos dos Junior; William Robson Schwartz

Extending Face Identification to Open-Set Face Recognition Inproceedings

In: Conference on Graphics, Patterns and Images (SIBGRAPI), pp. 1-8, 2014.

Links | BibTeX

Cristianne Rodrigues Santos Dutra; M C Rocha; William Robson Schwartz

Person Re-Identification Based on Weighted Indexing Structures Inproceedings

In: Iberoamerican Congress on Pattern Recognition (CIARP), pp. 359-366, Springer International Publishing, 2014.

Links | BibTeX

Gabriel Lorencetti Prado; William Robson Schwartz; Helio Pedrini

Person Re-identification Using Partial Least Squares Appearance Modeling Incollection

In: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, pp. 382–390, 2013.

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G P Carlos; H Pedrini; William Robson Schwartz

Fast and Scalable Enrollment for Face Identification based on Partial Least Squares Inproceedings

In: IEEE International Conference on Automatic Face and Gesture Recognition, 2013.

Links | BibTeX

Victor Hugo Cunha de Melo; Samir Moreira Andrade Leao; M Campos; D Menotti; William Robson Schwartz

Fast Pedestrian Detection based on a Partial Least Squares Cascade Inproceedings

In: IEEE International Conference on Image Processing, pp. 4146 - 4150, 2013.

Links | BibTeX

Cristianne Rodrigues Santos Dutra; T Souza; R Alves; William Robson Schwartz; L R Oliveira

Re-identifying People based on Indexing Structure and Manifold Appearance Modeling Inproceedings

In: Conference on Graphics, Patterns and Images (SIBGRAPI), pp. 218-225, 2013.

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Raphael Felipe Carvalho de Prates; G Camara-Chavez; William Robson Schwartz; D Menotti

Brazilian License Plate Detection Using Histogram of Oriented Gradients and Sliding Windows Journal Article

In: International Journal of Computer Science and Information Technology, 5 , pp. 39-52, 2013.

Links | BibTeX