Our CSE 190 project will deal with the topic of saliency, which is the state or quality of standing out relative to neighboring items. We intend to focus on the bottom-up approach, which is based upon stimulus-driven signals that announce that a location is sufficiently different from its surroundings to be worthy of attention.
In contrast the top-down approach focuses on object recognition using discriminant analysis.
Saliency is a plausible model for how biological systems and is considered to be a key attentional mechanism that facilitates learning and survival by enabling organisms to focus their limited perceptual and cognitive resources on the most pertinent subset of the available sensory data.
------------------------------------------
As of now our plan is to spend the next two weeks researching and learning more about saliency and the relevent algorithms associated with the bottom-up approach. The goal of our project is to create a bottom-up saliency detector and apply it specifically to crowds, though the detector should be general enough for use in other applications.
------------------------------------------
Video of bottom-up saliency mapping on a busy freeway:
No comments:
Post a Comment