Motion-Based Object Classification on UAV Images

Authors : Ahmet Er, Abdullah Yavuz

Pages : 93-104

View : 78 | Download : 72

Publication Date : 2023-11-17

Article Type : Research Paper

Abstract :Motion detection from video images is used for different purposes in various fields, especially in security. However, some difficulties may be encountered in detecting moving objects. Especially when the camera is moving, motion detection becomes difficult. This study, it is aimed to detect the moving object from the video images and to classify this detected object. It is recommended to use two different methods together for detecting the moving object. In the first method, reference points are determined on the image to separate the moving parts from the camera movement. These points were followed by optical flow along successive frames in the video image. Motion vectors are created from these traced points. The vectors that differed from the others in terms of slope and length were those belonging to the moving object. Then, in the second method, by calculating the transformation matrix between the frames, motion detection from the video image was performed with background stabilization. Finally, the parts that these two methods detected as moving were tried to be classified by adding a classifier layer to the pre-trained VGG16 model. With the study, moving objects on the VIVID Dataset could be detected and classified correctly.
Keywords : Hareketli Nesne Tespiti, Nesne Takibi, Derin Öğrenme, Anomali Tespiti