A direct approach for object detection with omnidirectional cameras
by
Çınaroğlu, İbrahim, author.
Title
:
A direct approach for object detection with omnidirectional cameras
Author
:
Çınaroğlu, İbrahim, author.
Personal Author
:
Çınaroğlu, İbrahim, author.
Physical Description
:
xiii, 61 leaves.: + 1 computer laser optical disc.
Abstract
:
In this thesis, an object detection system based on omnidirectional camera which has the advantages of detecting a large view-field is introduced. Initially, the traditional camera approach that uses sliding windows and Histogram of Gradients (HOG) features is adopted. Later on, how the feature extraction step of the conventional approach should be modified is described. The aim is an efficient and mathematically correct use of HOG features in omnidirectional images. Main steps are conversion of gradient orientations to compose an omnidirectional sliding window and modification of gradient magnitudes by means of Riemannian metric. Owing to the proposed methods, object detection process can be performed on the omnidirectional images without converting them to panoramic or perspective image. Experiments that are conducted with both synthetic and real images compare the proposed approach with regular (unmodified) HOG computation on both omnidirectional and panoramic images. Results show that the performance of detection has been improved by using the proposed method.
Subject Term
:
Robot vision.
Pattern recognition systems.
Cameras -- Calibration.
Added Author
:
Baştanlar, Yalın
Added Corporate Author
:
İzmir Institute of Technology. Computer Engineering.
Added Uniform Title
:
Thesis (Master)--İzmir Institute of Technology: Computer Engineering.
İzmir Institute of Technology: Computer Engineering--Thesis (Master).
Electronic Access
:
Library | Material Type | Item Barcode | Shelf Number | Status |
---|
IYTE Library | Thesis | T001292 | TK7882.P3 C57 2014 | Tez Koleksiyonu |
IYTE Library | Supplementary CD-ROM | ROM2294 | TK7882.P3 C57 2014 EK.1 | Tez Koleksiyonu |