Human behavior analysis

The group is starting a new research focused in human behavior analysis in video sequences with multiple targets. A robust tracking system is needed to perform the analysis. Two issues have to be solved: target collisions and occlusions. A collision occurs when two or more targets interact within the scene. The system have to control this situations, in order to avoid possible exchange of identifiers.

We have developed a full multiple-target tracking system that can deal with people collisions and occlusions. The system is also able to be trained to detect other objects of interest.

We are currently working on the target path detection and characterization. The system includes a module for abnormal behavior detection that can work with or without any a priori information about the environment. A module of detection of usual paths, including frequency information, is also developed.

Public databases

BARD Dataset

The BARD dataset is a set of videos used for human behavioral analysis and recognition. The dataset currently contains four video sequences. The captures are taken place outdoors, under an uncontrolled scenario.

If you are interested in using the BARD dataset, please send an email to: mortega@udc.es and you will receive an authentication password to access the dataset. This is intended for statistical purposes only, no private data or fee is required. If you use this image set for your work, please include a reference of BARD in it. If you use this dataset for your works, please include a reference of BARD in it by citing the original papers where the database was introduced:

  • B. Cancela, M. Ortega, M. G. Penedo, J. Novo, N. Barreira, "On the Use of a Minimal Path Approach for Target Trajectory Analysis", Pattern Recognition, 46 (7), 2015 - 2027, 2013.
  • B. Cancela, M. Ortega, M. G. Penedo, "Multiple Human Tracking System for Unpredictable Trajectories", Machine Vision and Applications, 25(2), 511-527, 2014.

Main publications

  • B. Cancela, A. Iglesias, M. Ortega, M. G. Penedo, "Unsupervised Trajectory Modelling using Temporal Information via Minimal Paths", IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2014), Columbus, Ohio, June 2014.
    [Abstract] [PDF]
  • B. Cancela, M. Ortega, M. G. Penedo, "Multiple Human Tracking System for Unpredictable Trajectories", Machine Vision and Applications, 25(2), 511-527, 2014.
    [Abstract] [PDF]
  • B. Cancela, M. Ortega, M. G. Penedo, J. Novo, N. Barreira, "On the Use of a Minimal Path Approach for Target Trajectory Analysis", Pattern Recognition, 46 (7), 2015 - 2027, 2013.
    [Abstract] [PDF]
  • B. Cancela, M. Ortega, A. Fernández, M. G. Penedo, "Hierarchical framework for robust and fast multiple-target tracking in surveillance scenarios", Expert Systems with Applications, 40, 1116 - 1131, 2013.
    [Abstract] [PDF]