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Proceedings Paper

Sensor-independent approach to recognition: the object-based approach
Author(s): Jim C. Morrow; Sqama Hossain
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Paper Abstract

This paper introduces a fundamentally different approach to recognition -- the object-based approach -- which is inherently knowledge-based and sensor independent. The paper begins with a description of an object-based recognition system, contrasting it with the image-based approach. Next, the multilevel stage of the system, incorporating several sensor data sources is described. From these sources elements of the situation hypothesis are generated as directed by the recognition goal. Depending on the degree of correspondence between the sensor-fed elements and the object-model-fed elements, a hypothetical element is created. The hypothetical element is further employed to develop evidence for the sensor-fed element through the inclusion of secondary sensor outputs. The sensor-fed element is thus modeled in more detail, and further evidence is added to the hypothetical element. Several levels of reasoning and data integration are involved in this overall process; further, a self-adjusting correction mechanism is included through the feedback from the hypothetical element to the sensors, thus defining secondary output connections to the sensor-fed element. Some preliminary work based on this approach has been carried out and initial results show improvements over the conventional image-based approach.

Paper Details

Date Published: 1 March 1994
PDF: 12 pages
Proc. SPIE 2244, Knowledge-Based Artificial Intelligence Systems in Aerospace and Industry, (1 March 1994); doi: 10.1117/12.169400
Show Author Affiliations
Jim C. Morrow, Short Brothers DSD plc and Queen's Univ. of Belfast (United Kingdom)
Sqama Hossain, Short Brothers DSD plc and Queen's Univ. of Belfast (United Kingdom)


Published in SPIE Proceedings Vol. 2244:
Knowledge-Based Artificial Intelligence Systems in Aerospace and Industry
Wray Buntine; Doug H. Fisher, Editor(s)

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