Saccadic search with Gabor features applied to eye detection and real-time head tracking

• The Gabor decomposition is a ubiquitous tool in computer vision. Nevertheless, it is generally considered computationally demanding for active vision applications. We suggest an attention-driven approach to feature detection inspired by the human saccadic system. A dramatic speedup is achieved by computing the Gabor decomposition only on the points of a sparse retinotopic grid. An off-line eye detection application and a real-time head localisation and tracking system are presented. The real-time system features a novel eyeball-mounted camera designed to simulate the dynamic performance of the human eye and is, to the best of our knowledge, the first example of active vision system based on the Gabor decomposition.

Ämnesord

NATURVETENSKAP  -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)

NATURAL SCIENCES  -- Computer and Information Sciences -- Computer Sciences (hsv//eng)

Nyckelord

Active vision

Cameras

Computer simulation

Computer vision

Cortex

Eye movements

Face recognition

Feature extraction

Gabor decomposition

Head tracking

Real time systems

Retinotopic sampling

Saccadic eye movements

Computer science

Datavetenskap

Publikations- och innehållstyp

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