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Image motion processing in biological and computer vision systems

Conference Paper


Abstract


  • Motion modeling in biological and computer vision systems is divided into two categories: Intensity-based schemes and feature-matching schemes. Some models from each category are discussed. Intensity-based models are further subdivided into global and local models. Moreover, a new motion detection model that belongs to the family of intensity-based schemes is introduced. The model operates on the same basic structure as the Reichardt’s correlation model does, that is, a nonlinear asymmetric interaction between signals from two adjacent channels. However, the new model differs from that of Reichardt in the nature and origin of the nonlinear interaction: It is of the inhibitory type originating from the biophysical mechanism of shunting inhibition. Our model detects fairly well motion of objects like edges and bars. Furthermore, its mean response to a moving grating of low contrast is equivalent to that of the Reichardt correlation model. © 1989 SPIE.

Publication Date


  • 1989

Citation


  • Bouzerdoum, A., & Pinter, R. B. (1989). Image motion processing in biological and computer vision systems. In Proceedings of SPIE - The International Society for Optical Engineering Vol. 1199 (pp. 1229-1241). doi:10.1117/12.970132

Scopus Eid


  • 2-s2.0-0008898963

Start Page


  • 1229

End Page


  • 1241

Volume


  • 1199

Abstract


  • Motion modeling in biological and computer vision systems is divided into two categories: Intensity-based schemes and feature-matching schemes. Some models from each category are discussed. Intensity-based models are further subdivided into global and local models. Moreover, a new motion detection model that belongs to the family of intensity-based schemes is introduced. The model operates on the same basic structure as the Reichardt’s correlation model does, that is, a nonlinear asymmetric interaction between signals from two adjacent channels. However, the new model differs from that of Reichardt in the nature and origin of the nonlinear interaction: It is of the inhibitory type originating from the biophysical mechanism of shunting inhibition. Our model detects fairly well motion of objects like edges and bars. Furthermore, its mean response to a moving grating of low contrast is equivalent to that of the Reichardt correlation model. © 1989 SPIE.

Publication Date


  • 1989

Citation


  • Bouzerdoum, A., & Pinter, R. B. (1989). Image motion processing in biological and computer vision systems. In Proceedings of SPIE - The International Society for Optical Engineering Vol. 1199 (pp. 1229-1241). doi:10.1117/12.970132

Scopus Eid


  • 2-s2.0-0008898963

Start Page


  • 1229

End Page


  • 1241

Volume


  • 1199