TITLE:
A Neuro-inspired Adaptive Motion Detector
AUTHORS:
Xiaopin Zhong, Lin Ma
KEYWORDS:
Neuro-inspired; Motion Detector; Dual-probe Adaptive Model; Active Tremor Operation
JOURNAL NAME:
Optics and Photonics Journal,
Vol.3 No.2B,
July
18,
2013
ABSTRACT: In this paper, a novel
motion detector is proposed to perceive the weak changes in a image sequence.
This is inspired by the mechanism of fixational eye movement and dynamics of vertebrate’s
cortex. We realized respectively an artificial model of visual attention
selection, called dual-probe adaptive model (DPAM), and an active tremor
operation (ATO) approach. It is found that between them there exists a
resonance phenomenon. The phenomenon is enhanced when the ATO and the DPAM are in-phase
and is suppressed when they are anti-phase.Based on this, we construct
a novel motion detector combined by the ATO and the DPAM to resonate with the
motion direction. This allows capturing moving edges even in the image
sequences with lighting change and noisy background. Simulation and
Experimental results demonstrate the effectiveness.