Open AccessDesign and Implementation of Locations Matching Algorithm for Multi-Object Recognition and Localization
Author(s) -
Abdulmuttalib T. Rashid,
Wael Hussein Zayer,
Mofeed Turky Rashid
Publication year - 2018
Publication title -
iraqi journal for electrical and electronic engineering/al-maǧallaẗ al-ʻirāqiyyaẗ al-handasaẗ al-kahrabāʼiyyaẗ wa-al-ilikttrūniyyaẗ
Language(s) - English
Resource type - Journals
eISSN - 2078-6069
pISSN - 1814-5892
DOI - 10.37917/ijeee.14.1.2
Subject(s) - beacon , computer vision , artificial intelligence , object (grammar) , computer science , matching (statistics) , table (database) , cognitive neuroscience of visual object recognition , algorithm , pattern recognition (psychology) , mathematics , data mining , statistics , real time computing
A new algorithm for multi-object recognition and localization is introduced in this paper. This algorithm deals with objects which have different reflectivity factors and distinguish color with respect to the other objects. Two beacons scan multi-color objects using long distance IR sensors to estimate their absolute locations. These two beacon nodes are placed at two corners of the environment. The recognition of these objects is estimated by matching the locations of each object with respect to the two beacons. A look-up table contains the distances information about different color objects is used to convert the reading of the long distance IR sensor from voltage to distance units. The locations of invisible objects are computed by using absolute locations of invisible objects method. The performance of introduced algorithm is tested with several experimental scenarios that implemented on color objects.