DocumentCode :
3495372
Title :
Grouping sensory primitives for object recognition and tracking
Author :
Madhavan, R. ; Foedisch, M. ; Chang, T. ; Hong, T.
Author_Institution :
Intelligent Syst. Div., Nat. Inst. of Stand. & Technol., Gaithersburg, MD
fYear :
2005
fDate :
1-1 Dec. 2005
Lastpage :
172
Abstract :
In this paper, we describe our recent efforts in grouping sensory data into meaningful entities. Our grouping philosophy is based on perceptual organization principles using gestalt hypotheses where we impose structural regularity on sensory primitives stemming from a common underlying cause. We present results using field data from UGVs and outline the utility of our research in object recognition and tracking for autonomous vehicle navigation. In addition, we show how the grouping efforts can be useful for constructing symbolic topological maps when data from different sensing modalities are fused in a bottom-up and top-down fashion
Keywords :
navigation; object recognition; remotely operated vehicles; sensor fusion; tracking; autonomous vehicle navigation; gestalt hypotheses; object recognition; object tracking; perceptual organization principles; sensory primitives; symbolic topological maps; Computational intelligence; Control system synthesis; Intelligent sensors; Intelligent systems; Mobile robots; NIST; Navigation; Object recognition; Real time systems; Remotely operated vehicles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Applied Imagery and Pattern Recognition Workshop, 2005. Proceedings. 34th
Conference_Location :
Washington, DC
ISSN :
1550-5219
Print_ISBN :
0-7695-2479-6
Type :
conf
DOI :
10.1109/AIPR.2005.29
Filename :
1612818
Link To Document :
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