1 March 1994 Sensor-independent approach to recognition: the object-based approach
Author Affiliations +
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.
© (1994) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jim C. Morrow, Sqama Hossain, "Sensor-independent approach to recognition: the object-based approach", Proc. SPIE 2244, Knowledge-Based Artificial Intelligence Systems in Aerospace and Industry, (1 March 1994); doi: 10.1117/12.169400; https://doi.org/10.1117/12.169400
PROCEEDINGS
12 PAGES


SHARE
Back to Top