Effective techniques for human detection are of special interest in computer vision since many applications involve people’s locations and movements. Thus, significant research has been devoted to detecting, locating and tracking people in images and videos. Over the last few years the problem of detecting humans in single images has received considerable interest. Variations in illumination, shadows, pose, as well as frequent inter- and intra-person occlusion render this a challenging task.
In: IAPR International Conference on Pattern Recognition (ICPR), pp. 1-6, 2016.
In: IEEE International Conference on Image Processing (ICIP), pp. 2931-2935, 2016.
The Good, the Fast and the Better Pedestrian Detector Masters Thesis
Federal University of Minas Gerais, 2016.
In: Workshop em Visao Computacional (WVC), pp. 1-8, 2015.
Federal University of Minas Gerais, 2014.
In: IAPR International Conference on Pattern Recognition (ICPR), pp. 1-6, 2014.
Computer Vision: A Reference Guide Book Chapter
In: Ikeuchi, Katsushi (Ed.): Chapter Appearance-Based Human Detection, pp. 36–38, Springer US, 2014.
A Data-Driven Detection Optimization Framework Journal Article
In: Neurocomputing, 104 , pp. 35-49, 2013.
In: IEEE International Conference on Image Processing, pp. 4146 - 4150, 2013.
Local Response Context Applied to Pedestrian Detection Inproceedings
In: Iberoamerican Congress on Pattern Recognition, pp. 181-188, 2011.
In: Performance Metrics for Intelligent Systems, 2010.
Human Detection Using Partial Least Squares Analysis Inproceedings
In: IEEE International Conference on Computer Vision (ICCV), pp. 24-31, 2009, (oral presentation).
In: International Conference on Biometrics, pp. 970-979, 2009.