title: Gaze motion clustering in scan-path estimation.
abstract: Visual attention is considered nowadays a paramount ability both in Cognitive Sciences and in Cognitive Vision to bridge the gap between perception and higher level reasoning functions, such as scene interpretation and decision making. Bottom-up gaze shifting is the main mechanism used by humans when exploring a scene without a specific task. In this paper we investigated which criteria allow for the generation of plausible fixation clusters by analysing experimental data of human subjects. We suggest that fixations should be grouped in cliques whose saliency can be assessed through an innovation factor encompassing bottom-up cues, proximity, direction and memory components.
authors: Dipartimento di Informatica e Sistemistica, ALCOR, Sapienza University, Rome, Italy. belardinelli@dis.uniroma1.it
authors: Anna
authors: A
authors: Belardinelli
authors: Fiora
authors: F
authors: Pirri
authors: Andrea
authors: A
authors: Carbone
mesh_terms: D000465:Algorithms; D001288:Attention / Q000502:physiology; D016000:Cluster Analysis; D003071:Cognition / Q000502:physiology; D003463:Cues; D003657:Decision Making / Q000502:physiology; D005133:Eye Movements / Q000502:physiology; D005403:Fixation, Ocular / Q000502:physiology; D006801:Humans; D008568:Memory / Q000502:physiology; D008962:Models, Theoretical; D009039:Motion Perception / Q000502:physiology*; D009483:Neuropsychological Tests / Q000706:statistics & numerical data; D011597:Psychomotor Performance / Q000502:physiology*; D013028:Space Perception / Q000502:physiology*; D014796:Visual Perception / Q000502:physiology*