Research Project

Proto-object based dynamic visual saliency model

Optimizing the motion-sensitive channel in biologically-plausible manner to compensate non consideration in current saliency models.

Many current saliency models are feature-based and do not consider motion/temporal change when computing a saliency map. This model is purely bottom-up, object-based saliency model that considers temporal change for computing a dynamic visual saliency map given any video sequence. Current work consists of optimizing the motion-sensitive channel in a biologically-plausible manner. Continuing work involves implementing this model on FPGA hardware.

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