Professor Schwartz presents a talk on person identification in surveillance at WVC 2018

The coordinator of the Smart Sense Laboratory, Professor William Schwartz presented a talk on person identification in surveillance scenarios last Monday (12), at the 14th Workshop on Computer Vision (WVC). The current edition of the WVC takes place on November 12-14, at the State University of Santa Cruz (UESC), Ilhéus, Bahia.

Computer vision techniques applied to video surveillance and biometrics have been investigated for several years, to develop intelligent and efficient systems to recognize and understand suspicious activities.… Read more

Kernel Hierarchical PCA for Person Re-Identification (ICPR 2016)

Source code used in the Kernel Hierarchical PCA for Person Re-Identification (ICPR 2016). In this paper, we tackle the person re-identification problem as a common subspace learning and propose a novel framework, which we named Kernel HPCA, that handles with camera transition and dimensionality reduction.

Kernel HPCA is a nonlinear extension of Hierarchical PCA (HPCA). HPCA is known in chemometrics as a multiblock multivariate model.… Read more

Kernel Partial Least Squares for Person Re-Identification (AVSS 2016)

Source code used in the Kernel Partial Least Squares for Person Re- Identification (AVSS 2016). In this paper, we approach supervised and unsupervised person re-identification (Re-ID) problem in two widely used datasets (VIPER and PRID450S) using Kernel Partial Least Squares.

Regarding supervised Re-ID, we present a common subspace learning method, which we coined Kernel PLS Mode A, and a cross-view discriminative regression model, X-KPLS.… Read more

CBRA – Color-Based Ranking Aggregation for Person Re-Identification

Source code used in the paper CBRA – Color-Based Ranking Aggregation for Person Re- Identification (ICIP 2015). In this paper, we propose the use of rank aggregation to improve the results, in which we address the person re-identification problem using a Color-based Ranking Aggregation (CBRA) method that explores different feature representations to obtain complementary ranking lists and combine them using the Stuart ranking aggregation method.… Read more

ICB 2015 Appearance-Based Person Re-Identification

This page contains the Software used on the paper presented in ICB 2015 (Appearance-Based Person Re-Identification by Intra-Camera Discriminative Models and Ranking Aggregation). In this work, we used prototypes to indirectly handle with the camera transition problem. Thus, for a given gallery image, we computed the most similar individuals in training set that were captured by the same camera. For each of these individuals, we used its respective image in the opposite camera (prototypes) to learn a appearance model using Partial Least Squares (PLS) in one-against-all (OAA) scheme.… Read more

ETHZ Dataset for Appearance-Based Modeling

The experimental results for the paper Learning Discriminative Appearance-Based Models Using Partial Least Squares in SIBGRAPI’2009 (link to the research page) were obtained using the ETHZ dataset, which provides a large number of different people captured in uncontrolled conditions. The video sequences are captured from moving cameras, which provides a range of variations in people’s appearances.


We used the ground truth location of people in the video to crop each person, then we created a directory containing samples of each person (p0??… Read more