Object-based visual attention for computer vision
نویسندگان
چکیده
منابع مشابه
Object-based visual attention for computer vision
In this paper, a novel model of object-based visual attention extending Duncan’s Integrated Competition Hypothesis [Phil. Trans. R. Soc. London B 353 (1998) 1307–1317] is presented. In contrast to the attention mechanisms used in most previous machine vision systems which drive attention based on the spatial location hypothesis, the mechanisms which direct visual attention in our system are obj...
متن کاملHierarchical Object-Based Visual Attention for Machine Vision
Human vision uses mechanisms of covert attention to selectively process interesting information and overt eye movements to extend this selectivity ability. Thus, visual tasks can be effectively dealt with by limited processing resources. Modelling visual attention for machine vision systems is not only critical but also challenging. In the machine vision literature there have been many conventi...
متن کاملA computer vision model for visual-object-based attention and eye movements
This paper presents a new computational framework for modelling visual-object based attention and attention-driven eye movements within an integrated system in a biologically inspired approach. Attention operates at multiple levels of visual selection by space, feature, object and group depending on the nature of targets and visual tasks. Attentional shifts and gaze shifts are constructed upon ...
متن کاملHierarchical Selectivity for Object-Based Visual Attention
This paper presents a novel “hierarchical selectivity” mechanism for object-based visual attention. This mechanism integrates visual salience from bottom-up groupings and the top-down attentional setting. Under its guidance, covert visual attention can shift not only from one grouping to another but also from a grouping to its sub-groupings at a single resolution or multiple varying resolutions...
متن کاملObject-based vision and attention in primates.
In forming a representation of a visible object, the brain must analyze the visual scene pre-attentively, select an object through active attention, and form representations of the multiple attributes of the selected object. During the past two years, progress has been made in understanding the neural underpinnings of these processes by means of single-neuron recording in monkeys.
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Artificial Intelligence
سال: 2003
ISSN: 0004-3702
DOI: 10.1016/s0004-3702(02)00399-5