Abstract: Object detection is a very important problem in the field of computer vision. Object detection is the process of finding instances of objects such as faces, bicycles, and buildings in images or videos. Object detection algorithms generally use extracted features and learning algorithms to recognize instances of an object category. It is commonly used in applications such as security, image retrieval, surveillance, and automated vehicle parking systems. This paper tries to provide an extension to this problem,by detecting objects in the images obtained from the UAV. The object focused here is only a single object i.e. car. This paper uses bag of words model with scale invariant feature transform. The video obtained from the UAV is analyzed frame by frame by the program and the number of cars in each frame of the video arefirst detected and the detected cars are then counted and displayed in the end.
Keywords: Car Detection, Feature Extraction, Scale Invariant Feature Transform (SIFT), Support Vector Machine (SVM), Unmanned Aerial Vehicle (UAV).
Title: Car Detection in UAV Images
Author: Hriday Bavle
International Journal of Thesis Projects and Dissertations (IJTPD)
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