Sciweavers

Share
ICCV
2007
IEEE

A Biologically Inspired System for Action Recognition

9 years 7 months ago
A Biologically Inspired System for Action Recognition
We present a biologically-motivated system for the recognition of actions from video sequences. The approach builds on recent work on object recognition based on hierarchical feedforward architectures [25, 16, 20] and extends a neurobiological model of motion processing in the visual cortex [10]. The system consists of a hierarchy of spatio-temporal feature detectors of increasing complexity: an input sequence is first analyzed by an array of motiondirection sensitive units which, through a hierarchy of processing stages, lead to position-invariant spatio-temporal feature detectors. We experiment with different types of motion-direction sensitive units as well as different system architectures. As in [16], we find that sparse features in intermediate stages outperform dense ones and that using a simple feature selection approach leads to an efficient system that performs better with far fewer features. We test the approach on different publicly available action datasets, in all cases ...
Hueihan Jhuang, Thomas Serre, Lior Wolf, Tomaso Po
Added 14 Oct 2009
Updated 08 Jul 2010
Type Conference
Year 2007
Where ICCV
Authors Hueihan Jhuang, Thomas Serre, Lior Wolf, Tomaso Poggio
Comments (0)
books