Bastos, Igor; de Melo, Victor Hugo Cunha; Schwartz, William Robson Multi-Loss Recurrent Residual Networks for Gesture Detection and Recognition Inproceedings Em: Conference on Graphic, Patterns and Images (SIBGRAPI), pp. 1-8, 2019. @inproceedings{Bastos:2019:SIBGRAPIb,
title = {Multi-Loss Recurrent Residual Networks for Gesture Detection and Recognition},
author = {Igor Bastos and Victor Hugo Cunha de Melo and William Robson Schwartz},
url = {http://www.dcc.ufmg.br/~william/papers/paper_2019_SIBGRAPI_Bastos.pdf},
year = {2019},
date = {2019-01-01},
booktitle = {Conference on Graphic, Patterns and Images (SIBGRAPI)},
pages = {1-8},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
de Melo, Victor Hugo Cunha; Santos, Jesimon Barreto; Junior, Carlos Antonio Caetano; Sena, Jessica; Penatti, Otavio A B; Schwartz, William Robson Object-based Temporal Segment Relational Network for Activity Recognition Inproceedings Em: Conference on Graphic, Patterns and Images (SIBGRAPI), pp. 1-8, 2018. @inproceedings{DeMelo:2018:SIBGRAPI,
title = {Object-based Temporal Segment Relational Network for Activity Recognition},
author = {Victor Hugo Cunha de Melo and Jesimon Barreto Santos and Carlos Antonio Caetano Junior and Jessica Sena and Otavio A B Penatti and William Robson Schwartz},
year = {2018},
date = {2018-09-21},
booktitle = {Conference on Graphic, Patterns and Images (SIBGRAPI)},
pages = {1-8},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Colque, Rensso Victor Hugo Mora; Junior, Carlos Antonio Caetano; de Melo, Victor Hugo Cunha; Chavez, Guillermo Camara; Schwartz, William Robson Novel Anomalous Event Detection based on Human-object Interactions Inproceedings Em: VISAPP 2018 - International Conference on Computer Vision Theory and Applications, pp. 1-8, 2018. @inproceedings{Colque:2018:VISAPP,
title = {Novel Anomalous Event Detection based on Human-object Interactions},
author = {Rensso Victor Hugo Mora Colque and Carlos Antonio Caetano Junior and Victor Hugo Cunha de Melo and Guillermo Camara Chavez and William Robson Schwartz},
url = {http://smartsenselab.dcc.ufmg.br/wp-content/uploads/2019/02/VISAPP_2018_92.pdf},
year = {2018},
date = {2018-01-01},
booktitle = {VISAPP 2018 - International Conference on Computer Vision Theory and Applications},
pages = {1-8},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Bastos, Igor Leonardo Oliveira; de Melo, Victor Hugo Cunha; Gonçalves, Gabriel Resende; Schwartz, William Robson MORA: A Generative Approach to Extract Spatiotemporal Information Applied to Gesture Recognition Inproceedings Em: 15th International Conference on Advanced Video and Signal-based Surveillance (AVSS), pp. 1-6, 2018. @inproceedings{Bastos:2018:AVSS,
title = {MORA: A Generative Approach to Extract Spatiotemporal Information Applied to Gesture Recognition},
author = {Igor Leonardo Oliveira Bastos and Victor Hugo Cunha de Melo and Gabriel Resende Gonçalves and William Robson Schwartz},
url = {http://smartsenselab.dcc.ufmg.br/wp-content/uploads/2019/02/MORA_.pdf},
year = {2018},
date = {2018-01-01},
booktitle = {15th International Conference on Advanced Video and Signal-based Surveillance (AVSS)},
pages = {1-6},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Junior, Carlos Antonio Caetano; de Melo, Victor Hugo Cunha; dos Santos, Jefersson Alex; Schwartz, William Robson Activity Recognition based on a Magnitude-Orientation Stream Network Inproceedings Em: Conference on Graphics, Patterns and Images (SIBGRAPI), pp. 1-8, 2017. @inproceedings{Caetano:2017:SIBGRAPI,
title = {Activity Recognition based on a Magnitude-Orientation Stream Network},
author = {Carlos Antonio Caetano Junior and Victor Hugo Cunha de Melo and Jefersson Alex dos Santos and William Robson Schwartz},
url = {http://smartsenselab.dcc.ufmg.br/wp-content/uploads/2019/02/paper_2017_SIBGRAPI_Caetano.pdf},
year = {2017},
date = {2017-01-01},
booktitle = {Conference on Graphics, Patterns and Images (SIBGRAPI)},
pages = {1-8},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Jordao, Artur; de Melo, Victor Hugo Cunha; Schwartz, William Robson A Study of Filtering Approaches for Sliding Window Pedestrian Detection Inproceedings Em: Workshop em Visao Computacional (WVC), pp. 1-8, 2015. @inproceedings{Correia:2015:WVC,
title = {A Study of Filtering Approaches for Sliding Window Pedestrian Detection},
author = {Artur Jordao and Victor Hugo Cunha de Melo and William Robson Schwartz},
url = {http://smartsenselab.dcc.ufmg.br/wp-content/uploads/2019/02/paper_2015_WVC_Correia.pdf},
year = {2015},
date = {2015-01-01},
booktitle = {Workshop em Visao Computacional (WVC)},
pages = {1-8},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Sena, Jessica; Ferreira, Cesar Augusto Moura; dos Junior, Cassio Elias Santos; de Melo, Victor Hugo Cunha; Schwartz, William Robson Self-Organizing Traffic Lights: A Pedestrian Oriented Approach Miscellaneous Workshop of Undergraduate Works (WUW) in SIBGRAPI - Conference on Graphics, Patterns and Images, 2014, (1st place award). @misc{sibgrapi2014selfb,
title = {Self-Organizing Traffic Lights: A Pedestrian Oriented Approach},
author = {Jessica Sena and Cesar Augusto Moura Ferreira and Cassio Elias Santos dos Junior and Victor Hugo Cunha de Melo and William Robson Schwartz},
url = {http://smartsenselab.dcc.ufmg.br/wp-content/uploads/2019/02/2014-SIBGRAPI-Self-Organizing-Traffic-Lights-A-Pedestrian-Oriented-Approach.pdf
http://www.icex.ufmg.br/index.php/noticias/noticias-do-icex/80-noticias-do-icex/alunos-do-dcc-sao-premiados-no-sibgrapi-2014},
year = {2014},
date = {2014-08-29},
pages = {86-91},
howpublished = {Workshop of Undergraduate Works (WUW) in SIBGRAPI - Conference on Graphics, Patterns and Images},
note = {1st place award},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
|
de Melo, Victor Hugo Cunha Fast and Robust Optimization Approaches for Pedestrian Detection Masters Thesis Federal University of Minas Gerais, 2014. @mastersthesis{Melo:2014:MSc,
title = {Fast and Robust Optimization Approaches for Pedestrian Detection},
author = {Victor Hugo Cunha de Melo},
url = {http://smartsenselab.dcc.ufmg.br/wp-content/uploads/2019/02/dissertation_2014_Victor.pdf},
year = {2014},
date = {2014-02-28},
school = {Federal University of Minas Gerais},
abstract = {The large number of surveillance cameras available nowadays in strategic points of major cities provides a safe environment. However, the huge amount of data provided by the cameras prevents its manual processing, requiring the application of automated methods. Among such methods, pedestrian detection plays an important role in reducing the amount of data by locating only the regions of interest for further processing regarding activities being performed by agents in the scene. However, the currently available methods are unable to process such large amount of data in real time. Therefore, there is a need for the development of optimization techniques. Towards accomplishing the goal of reducing costs for pedestrian detection, we propose in this work two optimization approaches. The first approach consists of a cascade of rejection based on Partial Least Squares (PLS) combined with the propagation of latent variables through the stages. Our results show that the method reduces the computational cost by increasing the number of rejected background samples in earlier stages of the cascade. Our second approach proposes a novel optimization that performs a random filtering in the image to select a small number of detection windows, allowing a reduction in the computational cost. Our results show that accurate results can be achieved even when a large number of detection windows are discarded.},
keywords = {},
pubstate = {published},
tppubtype = {mastersthesis}
}
The large number of surveillance cameras available nowadays in strategic points of major cities provides a safe environment. However, the huge amount of data provided by the cameras prevents its manual processing, requiring the application of automated methods. Among such methods, pedestrian detection plays an important role in reducing the amount of data by locating only the regions of interest for further processing regarding activities being performed by agents in the scene. However, the currently available methods are unable to process such large amount of data in real time. Therefore, there is a need for the development of optimization techniques. Towards accomplishing the goal of reducing costs for pedestrian detection, we propose in this work two optimization approaches. The first approach consists of a cascade of rejection based on Partial Least Squares (PLS) combined with the propagation of latent variables through the stages. Our results show that the method reduces the computational cost by increasing the number of rejected background samples in earlier stages of the cascade. Our second approach proposes a novel optimization that performs a random filtering in the image to select a small number of detection windows, allowing a reduction in the computational cost. Our results show that accurate results can be achieved even when a large number of detection windows are discarded. |
de Melo, Victor Hugo Cunha; Leao, Samir Moreira Andrade; Menotti, D; Schwartz, William Robson An Optimized Sliding Window Approach to Pedestrian Detection Inproceedings Em: IAPR International Conference on Pattern Recognition (ICPR), pp. 1-6, 2014. @inproceedings{Melo:2014:ICPR,
title = {An Optimized Sliding Window Approach to Pedestrian Detection},
author = {Victor Hugo Cunha de Melo and Samir Moreira Andrade Leao and D Menotti and William Robson Schwartz},
url = {http://smartsenselab.dcc.ufmg.br/wp-content/uploads/2019/02/2014-An-Optimized-Sliding-Window-Approach-to-Pedestrian-Detection.pdf},
year = {2014},
date = {2014-01-01},
booktitle = {IAPR International Conference on Pattern Recognition (ICPR)},
pages = {1-6},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Sena, Jessica; Ferreira, Cesar Augusto Moura; dos Junior, Cassio Elias Santos; de Melo, Victor Hugo Cunha; Schwartz, William Robson Self-Organizing Traffic Lights: A Pedestrian Oriented Approach Inproceedings Em: X Workshop de Visão Computacional, pp. 1-6, 2014. @inproceedings{wvc2014self,
title = {Self-Organizing Traffic Lights: A Pedestrian Oriented Approach},
author = {Jessica Sena and Cesar Augusto Moura Ferreira and Cassio Elias Santos dos Junior and Victor Hugo Cunha de Melo and William Robson Schwartz},
url = {http://smartsenselab.dcc.ufmg.br/wp-content/uploads/2019/02/2014-WVC-Self-Organizing-Traffic-Lights-A-Pedestrian-Oriented-Approach.pdf},
year = {2014},
date = {2014-01-01},
booktitle = {X Workshop de Visão Computacional},
pages = {1-6},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
