Abstract
We present an image recognition method to distinguish targets with cat-eye
effect from the dynamic background based on target shape and modulation frequency.
Original image sequences to be processed are acquired through an imaging mechanism
that utilizes a pulsed laser as active illuminator and an industrial camera as
detection device. There are two criterions to recognize a target: one exploits shape
priors and the other is the active illuminator's modulation frequency. The
feasibility of the proposed method and its superiority over the single criterion
method have been demonstrated by practical experiments.
© 2011 Chinese Optics Letters
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