A NEW GRADIENT-BASED FEATURE EXTRACTION METHOD FOR REAL-TIME DETECTION OF MOVING OBJECTS USING STEREO CAMERAS
Küçük Resim Yok
Tarih
2022
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Publ House Bulgarian Acad Sci
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
In this study, a gradient-based feature extraction method has been developed that can be used to detect moving objects in real-time applications such as unmanned ground or air vehicles. Feature extraction methods should produce fast results in real-time applications, as results need to be obtained between successive frames of video sequences within a limited time. For this reason, various sized image blocks were used in the developed method. The arithmetic mean (AM), geometric mean (GM), median (MD), and local contrast (LC) methods were used to calculate block intensities. In the stereo video stream, depth maps were also divided into blocks along with successive frames' R, G, and B channels. A novel feature extraction method was developed by calculating gradient-based relationships between adjacent blocks around the centre block. In experimental studies, the features extracted from stereo video frames using the proposed method were compared with Surf, Fast and Brisk methods according to their quantity, accuracy, and processing times, and more successful results were obtained. In addition, the moving object detection performance of the method was tested in real-time using an Unmanned Ground Vehicle.
Açıklama
Anahtar Kelimeler
Digital Cameras, Feature Extraction, Gradient Methods, Stereo Image Processing, Video Surveillance, Unmanned Ground Vehicle
Kaynak
Comptes Rendus De L Academie Bulgare Des Sciences
WoS Q Değeri
Q4
Scopus Q Değeri
Q3
Cilt
75
Sayı
3
