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Biologically Plausible Neural Model for the Recognition of Biological Motion and Actions

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Author(s)
Giese, Martin Alexander
•
Poggio, Tomaso
Date Issued
August 1, 2002
Series/Report no.
AIM-2002-012
CBCL-219
Abstract
The visual recognition of complex movements and actions is crucial for communication and survival in many species. Remarkable sensitivity and robustness of biological motion perception have been demonstrated in psychophysical experiments. In recent years, neurons and cortical areas involved in action recognition have been identified in neurophysiological and imaging studies. However, the detailed neural mechanisms that underlie the recognition of such complex movement patterns remain largely unknown. This paper reviews the experimental results and summarizes them in terms of a biologically plausible neural model. The model is based on the key assumption that action recognition is based on learned prototypical patterns and exploits information from the ventral and the dorsal pathway. The model makes specific predictions that motivate new experiments.
Subjects
AI
biological motion
action recognition
visual pathways
hierarchical processing
Persistent DSpace Link
http://hdl.handle.net/1721.1/7272
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