Aggregate channel features in detecting multiple targets of an indoor scene

In recent years, object recognition attracted attention from many scientists and academics in the field of image processing to be used for applications like recognizing a specific target in a scene, search and rescue operations. In the current study, an Aggregate Channel Features (ACF) is used to ex...

Full description

Saved in:
Bibliographic Details
Main Authors: Mohammed, Hussam Sh, Al-Zuky, Ali A. D., Al-Obaidi, Fatin E. M.
Format: Conference Proceeding
Language:English
Subjects:
Image processing
Object recognition
Rescue operations
Search and rescue missions
Target detection
Target recognition
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:In recent years, object recognition attracted attention from many scientists and academics in the field of image processing to be used for applications like recognizing a specific target in a scene, search and rescue operations. In the current study, an Aggregate Channel Features (ACF) is used to extract features from multiple targets to use such features after that as an ACF-training procedure, create targets’ recognition model that can be used at final to recognize and detect specific targets through a set of images. Results showed valid discrimination for targets occupied by a high degree of confidence for all cases. The results also showed the stability score for the ’red target’ which recorded 95.1% for all cases followed by ’black target’, ’brown target’ and ended by ’white target’ with scores lied in the ranges (95.1-97.4)%, (79.9-109.9)%, and (76.5-103.2)% respectively.
ISSN:0094-243X
1551-7616
DOI:10.1063/5.0161589