Single-Camera Automatic Landmarking for People Recognition with an Ensemble of Regression Trees

Authors

  • Karla Trejo Universitat Politècnica de Catalunya
  • Cecilio Angulo Universitat Politècnica de Catalunya

DOI:

https://doi.org/10.13053/cys-20-1-2365

Keywords:

Active appearance model, statistical matching, people recognition, body shape, automatic landmarking, human-robot interaction.

Abstract

Active Appearance Model (AAM) is a computer vision procedure for statistical matching of object shape and appearance between images. A main drawback in this technique comes from the construction of the shape mesh. Since landmarks must be manually placed when training shapes, AAM is a very time consuming procedure and it cannot be automatically applied on new objects observed in the images. An approach for automatic landmarking of body shapes on still images for AAM training is introduced in this paper. Several works exist applying automatic landmarking on faces or body joints. Here, we explore the possibility to extend one of these methods to full body contours and demonstrate it is a plausible approach in terms of accuracy and speed measures in experimentation. Our proposal represents a new research line in human body pose tracking with a single-view camera. Hence, implementation in real-time would lead to people being recognized by robots endowed with minimal vision resources, like a webcam, in human-robot interaction tasks.

Author Biographies

Karla Trejo, Universitat Politècnica de Catalunya

is a Ph.D. student in the Automatic Control, Robotics and Computer Vision doctoral programme at Universitat Politècnica de Catalunya - BarcelonaTech, Spain. She received her  granted her to pursue an M.S. degree at Universitat Politècnica de Catalunya - BarcelonaTech, Spain. As a student of the master program in Automatic Control and Robotics, she was selected to participate in the events held by RoCKIn EU project and became increasingly interested in Computer Vision topics. In 2014, Karla Trejo defended her thesis regarding Active Appearance Models for People Recognition with RGB-D sensors, receiving her M.S. degree. She’s currently extending the work and research conducted on this matter to her doctoral studies as a member of the Knowledge Engineering Research Group. technical degree in 2006 as a Programmer Analyst from Universidad de Colima, Mexico, and in 2011 her Bachelor degree in Mechatronics with a System’s Design and Automation specialty from Instituto Tecnol´ogico de Colima, Mexico. She was working at Zona Zero - Tecnologías de Información, Mexico, as an Embedded Systems Developer of the R&D Department when in 2012, the Mexican Government through CONACyT

Cecilio Angulo, Universitat Politècnica de Catalunya

is an Associate Professor of the Department of Automatic Control at the Universitat Politècnica de Catalunya - BarcelonaTech, Spain. He received his M.S. degree in Mathematics from the University of Barcelona, Spain, and his Ph.D. degree in Sciences from Universitat Politècnica de Catalunya - BarcelonaTech, Spain, in 1993 and 2001, respectively. From 2011 he has been serving as Director of the Master degree in Automatic Control and Robotics. He’s currently the Director of the Knowledge Engineering Research Group, where he is responsible for research projects in the area of robot learning. Cecilio Angulo is the author of over 250 technical publications. His research interests include cognitive robotics, machine learning algorithms, and computer vision applications.

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Published

2016-03-31

Issue

Vol. 20 No. 1 (2016): Thematic Issue: Topic Trends in Computing Research (Guest Editor: Claudia P. Ayala)

Section

Articles

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