TY - GEN
T1 - Human behavior analysis from depth maps
AU - Escalera, Sergio
PY - 2012
Y1 - 2012
N2 - Pose Recovery (PR) and Human Behavior Analysis (HBA) have been a main focus of interest from the beginnings of Computer Vision and Machine Learning. PR and HBA were originally addressed by the analysis of still images and image sequences. More recent strategies consisted of Motion Capture technology (MOCAP), based on the synchronization of multiple cameras in controlled environments; and the analysis of depth maps from Time-of-Flight (ToF) technology, based on range image recording from distance sensor measurements. Recently, with the appearance of the multi-modal RGBD information provided by the low cost Kinect™ sensor (from RGB and Depth, respectively), classical methods for PR and HBA have been redefined, and new strategies have been proposed. In this paper, the recent contributions and future trends of multi-modal RGBD data analysis for PR and HBA are reviewed and discussed.
AB - Pose Recovery (PR) and Human Behavior Analysis (HBA) have been a main focus of interest from the beginnings of Computer Vision and Machine Learning. PR and HBA were originally addressed by the analysis of still images and image sequences. More recent strategies consisted of Motion Capture technology (MOCAP), based on the synchronization of multiple cameras in controlled environments; and the analysis of depth maps from Time-of-Flight (ToF) technology, based on range image recording from distance sensor measurements. Recently, with the appearance of the multi-modal RGBD information provided by the low cost Kinect™ sensor (from RGB and Depth, respectively), classical methods for PR and HBA have been redefined, and new strategies have been proposed. In this paper, the recent contributions and future trends of multi-modal RGBD data analysis for PR and HBA are reviewed and discussed.
KW - Depth Maps
KW - Human Behavior Analysis
KW - Kinect™
KW - Pose Recovery
UR - http://www.scopus.com/inward/record.url?scp=84864652612&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-31567-1_28
DO - 10.1007/978-3-642-31567-1_28
M3 - Article in proceeding
AN - SCOPUS:84864652612
SN - 9783642315664
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 282
EP - 292
BT - Articulated Motion and Deformable Objects - 7th International Conference, AMDO 2012, Proceedings
T2 - 7th International Conference on Articulated Motion and Deformable Objects, AMDO 2012
Y2 - 11 July 2012 through 13 July 2012
ER -