DocumentCode :
567731
Title :
Scene understanding using DSO Cognitive Architecture
Author :
Ng, Gee Wah ; Xiao, Xuhong ; Chan, Rui Zhong ; Tan, Yuan Sin
Author_Institution :
DSO Nat. Labs., Singapore, Singapore
fYear :
2012
fDate :
9-12 July 2012
Firstpage :
2277
Lastpage :
2284
Abstract :
This paper presents how a novel cognitive architecture, DSO Cognitive Architecture (DSO-CA), has been applied to scene understanding. DSO-CA is able to bring to bear different types of knowledge to solve problems. It has been applied to object recognition in images. The cognitive architecture is able to fuse bottom-up perceptual information, top-down contextual knowledge and visual feedback in a way similar to how human utilizes different knowledge to recognize objects in images or video scene. This enables the cognitive system to achieve scene understanding.
Keywords :
image fusion; multi-agent systems; object recognition; DSO cognitive architecture; DSO-CA; bottom-up perceptual information fusion; cognitive system; object recognition; scene understanding; top-down contextual knowledge fusion; visual feedback fusion; Classification algorithms; Computer architecture; Humans; Object recognition; Prototypes; Relays; Visualization; Blending Feedback; Bottom-up; Cognitive Architecture; Contextual Information; Information Flow; Object Classification; Scene Understanding; Top-down;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Fusion (FUSION), 2012 15th International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4673-0417-7
Electronic_ISBN :
978-0-9824438-4-2
Type :
conf
Filename :
6290582
Link To Document :
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