2016 |
Jordao, Artur; Sena, Jessica; Schwartz, William Robson A Late Fusion Approach to Combine Multiple Pedestrian Detectors Inproceedings IAPR International Conference on Pattern Recognition (ICPR), pp. 1-6, 2016. Links | BibTeX | Tags: DeepEyes, Featured Publication, GigaFrames, Pedestrian Detection @inproceedings{Correia:2016:ICPR, title = {A Late Fusion Approach to Combine Multiple Pedestrian Detectors}, author = {Artur Jordao and Jessica Sena and William Robson Schwartz}, url = {http://smartsenselab.dcc.ufmg.br/wp-content/uploads/2019/02/A-Late-Fusion-Approach-to-Combine-Multiple.pdf}, year = {2016}, date = {2016-12-13}, booktitle = {IAPR International Conference on Pattern Recognition (ICPR)}, pages = {1-6}, keywords = {DeepEyes, Featured Publication, GigaFrames, Pedestrian Detection}, pubstate = {published}, tppubtype = {inproceedings} } |
Junior, Carlos Antonio Caetano; dos Santos, Jefersson A; Schwartz, William Robson Optical Flow Co-occurrence Matrices: A Novel Spatiotemporal Feature Descriptor Inproceedings IAPR International Conference on Pattern Recognition (ICPR), pp. 1-6, 2016. Links | BibTeX | Tags: Activity Recognition, Descriptor, Feature Extraction, Featured Publication, OFCM, VER+ @inproceedings{Caetano:2016:ICPR, title = {Optical Flow Co-occurrence Matrices: A Novel Spatiotemporal Feature Descriptor}, author = {Carlos Antonio Caetano Junior and Jefersson A dos Santos and William Robson Schwartz}, url = {http://smartsenselab.dcc.ufmg.br/wp-content/uploads/2019/02/ICPR2016.pdf}, year = {2016}, date = {2016-12-13}, booktitle = {IAPR International Conference on Pattern Recognition (ICPR)}, pages = {1-6}, keywords = {Activity Recognition, Descriptor, Feature Extraction, Featured Publication, OFCM, VER+}, pubstate = {published}, tppubtype = {inproceedings} } |
Gonçalves, Gabriel Resende; da Silva, Sirlene Pio Gomes; Menotti, David; Schwartz, William Robson Benchmark for License Plate Character Segmentation Journal Article Journal of Electronic Imaging, 25 (5), pp. 1-5, 2016, ISBN: 1017-9909. Links | BibTeX | Tags: Automatic License Plate Recognition, Benchmark, Character Segmentation, DeepEyes, Featured Publication, GigaFrames, Jaccard Coefficient, Novel Dataset, Sense SegPlate @article{2016:JEI:Gabriel, title = {Benchmark for License Plate Character Segmentation}, author = {Gabriel Resende Gonçalves and Sirlene Pio Gomes da Silva and David Menotti and William Robson Schwartz}, url = {http://smartsenselab.dcc.ufmg.br/wp-content/uploads/2019/02/JEI-2016-Benchmark.pdf}, isbn = {1017-9909}, year = {2016}, date = {2016-10-24}, journal = {Journal of Electronic Imaging}, volume = {25}, number = {5}, pages = {1-5}, keywords = {Automatic License Plate Recognition, Benchmark, Character Segmentation, DeepEyes, Featured Publication, GigaFrames, Jaccard Coefficient, Novel Dataset, Sense SegPlate}, pubstate = {published}, tppubtype = {article} } |
de Prates, Raphael Felipe Carvalho; Oliveira, Marina Santos; Schwartz, William Robson Kernel Partial Least Squares for Person Re-Identification Inproceedings IEEE International Conference on Advanced Video and Signal-Based Surveillance (AVSS), 2016. Resumo | Links | BibTeX | Tags: DeepEyes, Featured Publication, GigaFrames, HAR-HEALTH, Kernel Partial Least Squares, Kernel Partial Least Squares for Person Re-Identification, Person Re-Identification @inproceedings{Prates2016AVSS, title = {Kernel Partial Least Squares for Person Re-Identification}, author = {Raphael Felipe Carvalho de Prates and Marina Santos Oliveira and William Robson Schwartz}, url = {http://smartsenselab.dcc.ufmg.br/wp-content/uploads/2019/02/egpaper_for_DoubleBlindReview.pdf}, year = {2016}, date = {2016-09-25}, booktitle = {IEEE International Conference on Advanced Video and Signal-Based Surveillance (AVSS)}, abstract = {Person re-identification (Re-ID) keeps the same identity for a person as he moves along an area with nonoverlapping surveillance cameras. Re-ID is a challenging task due to appearance changes caused by different camera viewpoints, occlusion and illumination conditions. While robust and discriminative descriptors are obtained combining texture, shape and color features in a high-dimensional representation, the achievement of accuracy and efficiency demands dimensionality reduction methods. At this paper, we propose variations of Kernel Partial Least Squares (KPLS) that simultaneously reduce the dimensionality and increase the discriminative power. The Cross-View KPLS (X-KPLS) and KPLS Mode A capture cross-view discriminative information and are successful for unsupervised and supervised Re-ID. Experimental results demonstrate that XKPLS presents equal or higher matching results when compared to other methods in literature at PRID450S.}, keywords = {DeepEyes, Featured Publication, GigaFrames, HAR-HEALTH, Kernel Partial Least Squares, Kernel Partial Least Squares for Person Re-Identification, Person Re-Identification}, pubstate = {published}, tppubtype = {inproceedings} } Person re-identification (Re-ID) keeps the same identity for a person as he moves along an area with nonoverlapping surveillance cameras. Re-ID is a challenging task due to appearance changes caused by different camera viewpoints, occlusion and illumination conditions. While robust and discriminative descriptors are obtained combining texture, shape and color features in a high-dimensional representation, the achievement of accuracy and efficiency demands dimensionality reduction methods. At this paper, we propose variations of Kernel Partial Least Squares (KPLS) that simultaneously reduce the dimensionality and increase the discriminative power. The Cross-View KPLS (X-KPLS) and KPLS Mode A capture cross-view discriminative information and are successful for unsupervised and supervised Re-ID. Experimental results demonstrate that XKPLS presents equal or higher matching results when compared to other methods in literature at PRID450S. |
dos Junior, Cassio Elias Santos; Kijak, Ewa; Gravier, Guillaume; Schwartz, William Robson Partial least squares for face hashing Journal Article Neurocomputing, 213 , pp. 34–47, 2016. Links | BibTeX | Tags: Face Identification, Face Recognition, Featured Publication, Partial Least Squares @article{Santos:2016:Neurocomputing, title = {Partial least squares for face hashing}, author = {Cassio Elias Santos dos Junior and Ewa Kijak and Guillaume Gravier and William Robson Schwartz}, url = {http://smartsenselab.dcc.ufmg.br/wp-content/uploads/2019/02/paper_2016_Neurocomputing_Santos.pdf}, year = {2016}, date = {2016-02-03}, journal = {Neurocomputing}, volume = {213}, pages = {34--47}, keywords = {Face Identification, Face Recognition, Featured Publication, Partial Least Squares}, pubstate = {published}, tppubtype = {article} } |
2016 |
Artur Jordao; Jessica Sena; William Robson Schwartz A Late Fusion Approach to Combine Multiple Pedestrian Detectors Inproceedings IAPR International Conference on Pattern Recognition (ICPR), pp. 1-6, 2016. Links | BibTeX | Tags: DeepEyes, Featured Publication, GigaFrames, Pedestrian Detection @inproceedings{Correia:2016:ICPR, title = {A Late Fusion Approach to Combine Multiple Pedestrian Detectors}, author = {Artur Jordao and Jessica Sena and William Robson Schwartz}, url = {http://smartsenselab.dcc.ufmg.br/wp-content/uploads/2019/02/A-Late-Fusion-Approach-to-Combine-Multiple.pdf}, year = {2016}, date = {2016-12-13}, booktitle = {IAPR International Conference on Pattern Recognition (ICPR)}, pages = {1-6}, keywords = {DeepEyes, Featured Publication, GigaFrames, Pedestrian Detection}, pubstate = {published}, tppubtype = {inproceedings} } |
Carlos Antonio Caetano Junior; Jefersson A dos Santos; William Robson Schwartz Optical Flow Co-occurrence Matrices: A Novel Spatiotemporal Feature Descriptor Inproceedings IAPR International Conference on Pattern Recognition (ICPR), pp. 1-6, 2016. Links | BibTeX | Tags: Activity Recognition, Descriptor, Feature Extraction, Featured Publication, OFCM, VER+ @inproceedings{Caetano:2016:ICPR, title = {Optical Flow Co-occurrence Matrices: A Novel Spatiotemporal Feature Descriptor}, author = {Carlos Antonio Caetano Junior and Jefersson A dos Santos and William Robson Schwartz}, url = {http://smartsenselab.dcc.ufmg.br/wp-content/uploads/2019/02/ICPR2016.pdf}, year = {2016}, date = {2016-12-13}, booktitle = {IAPR International Conference on Pattern Recognition (ICPR)}, pages = {1-6}, keywords = {Activity Recognition, Descriptor, Feature Extraction, Featured Publication, OFCM, VER+}, pubstate = {published}, tppubtype = {inproceedings} } |
Gabriel Resende Gonçalves; Sirlene Pio Gomes da Silva; David Menotti; William Robson Schwartz Benchmark for License Plate Character Segmentation Journal Article Journal of Electronic Imaging, 25 (5), pp. 1-5, 2016, ISBN: 1017-9909. Links | BibTeX | Tags: Automatic License Plate Recognition, Benchmark, Character Segmentation, DeepEyes, Featured Publication, GigaFrames, Jaccard Coefficient, Novel Dataset, Sense SegPlate @article{2016:JEI:Gabriel, title = {Benchmark for License Plate Character Segmentation}, author = {Gabriel Resende Gonçalves and Sirlene Pio Gomes da Silva and David Menotti and William Robson Schwartz}, url = {http://smartsenselab.dcc.ufmg.br/wp-content/uploads/2019/02/JEI-2016-Benchmark.pdf}, isbn = {1017-9909}, year = {2016}, date = {2016-10-24}, journal = {Journal of Electronic Imaging}, volume = {25}, number = {5}, pages = {1-5}, keywords = {Automatic License Plate Recognition, Benchmark, Character Segmentation, DeepEyes, Featured Publication, GigaFrames, Jaccard Coefficient, Novel Dataset, Sense SegPlate}, pubstate = {published}, tppubtype = {article} } |
Raphael Felipe Carvalho de Prates; Marina Santos Oliveira; William Robson Schwartz Kernel Partial Least Squares for Person Re-Identification Inproceedings IEEE International Conference on Advanced Video and Signal-Based Surveillance (AVSS), 2016. Resumo | Links | BibTeX | Tags: DeepEyes, Featured Publication, GigaFrames, HAR-HEALTH, Kernel Partial Least Squares, Kernel Partial Least Squares for Person Re-Identification, Person Re-Identification @inproceedings{Prates2016AVSS, title = {Kernel Partial Least Squares for Person Re-Identification}, author = {Raphael Felipe Carvalho de Prates and Marina Santos Oliveira and William Robson Schwartz}, url = {http://smartsenselab.dcc.ufmg.br/wp-content/uploads/2019/02/egpaper_for_DoubleBlindReview.pdf}, year = {2016}, date = {2016-09-25}, booktitle = {IEEE International Conference on Advanced Video and Signal-Based Surveillance (AVSS)}, abstract = {Person re-identification (Re-ID) keeps the same identity for a person as he moves along an area with nonoverlapping surveillance cameras. Re-ID is a challenging task due to appearance changes caused by different camera viewpoints, occlusion and illumination conditions. While robust and discriminative descriptors are obtained combining texture, shape and color features in a high-dimensional representation, the achievement of accuracy and efficiency demands dimensionality reduction methods. At this paper, we propose variations of Kernel Partial Least Squares (KPLS) that simultaneously reduce the dimensionality and increase the discriminative power. The Cross-View KPLS (X-KPLS) and KPLS Mode A capture cross-view discriminative information and are successful for unsupervised and supervised Re-ID. Experimental results demonstrate that XKPLS presents equal or higher matching results when compared to other methods in literature at PRID450S.}, keywords = {DeepEyes, Featured Publication, GigaFrames, HAR-HEALTH, Kernel Partial Least Squares, Kernel Partial Least Squares for Person Re-Identification, Person Re-Identification}, pubstate = {published}, tppubtype = {inproceedings} } Person re-identification (Re-ID) keeps the same identity for a person as he moves along an area with nonoverlapping surveillance cameras. Re-ID is a challenging task due to appearance changes caused by different camera viewpoints, occlusion and illumination conditions. While robust and discriminative descriptors are obtained combining texture, shape and color features in a high-dimensional representation, the achievement of accuracy and efficiency demands dimensionality reduction methods. At this paper, we propose variations of Kernel Partial Least Squares (KPLS) that simultaneously reduce the dimensionality and increase the discriminative power. The Cross-View KPLS (X-KPLS) and KPLS Mode A capture cross-view discriminative information and are successful for unsupervised and supervised Re-ID. Experimental results demonstrate that XKPLS presents equal or higher matching results when compared to other methods in literature at PRID450S. |
Cassio Elias Santos dos Junior; Ewa Kijak; Guillaume Gravier; William Robson Schwartz Partial least squares for face hashing Journal Article Neurocomputing, 213 , pp. 34–47, 2016. Links | BibTeX | Tags: Face Identification, Face Recognition, Featured Publication, Partial Least Squares @article{Santos:2016:Neurocomputing, title = {Partial least squares for face hashing}, author = {Cassio Elias Santos dos Junior and Ewa Kijak and Guillaume Gravier and William Robson Schwartz}, url = {http://smartsenselab.dcc.ufmg.br/wp-content/uploads/2019/02/paper_2016_Neurocomputing_Santos.pdf}, year = {2016}, date = {2016-02-03}, journal = {Neurocomputing}, volume = {213}, pages = {34--47}, keywords = {Face Identification, Face Recognition, Featured Publication, Partial Least Squares}, pubstate = {published}, tppubtype = {article} } |