This paper is a postprint of a paper submitted to and accepted for publication in Electronics Letters and is subject to Institution of Engineering and Technology Copyright. The copy of record is available at IET Digital LibraryThe combination of two of the most recent people detectors from the
state of the art is proposed. It is already known that the combination of
independent information sources is useful for any detection task. In
relation with people detection, there are two main discriminative
information sources that characterize a person: appearance and motion.
We propose the combination of two recent approaches based on both
information sources. Experimental results over an extensive dataset
show that the proposed combination significantly improves the results.This work was partially supported by the
Universidad Autónoma de Madrid (“FPI-UAM”) and by the Spanish
Goverment (“TEC2011-25995 EventVideo”)