Classification and tracking of vehicles with hybrid camera systems için kapak resmi
Classification and tracking of vehicles with hybrid camera systems
Barış İpek, author.
Yazar Ek Girişi:
Fiziksel Tanımlama:
xi, 40 leaves: color illustraltions.+ 1 computer laser optical disc.
The integrated usage of several vision systems is especially important for surveillance applications. In case of a hybrid system combining an omnidirectional and a PTZ (pan-tilt-zoom) camera, the omnidirectional camera provides 360 horizontal FOV (Field of View) with a low resolution per viewing angle whereas the PTZ camera provides high resolution at a certain direction. In this thesis work, we introduce a hybrid system combining the powerful aspects of both camera types and aims a wide angle high resolution surveillance for traffic scenes. The hybrid system provides real-time object classification and high resolution tracking. The omnidirectional camera detects the moving objects and then it performs an initial classification by using shape-based features. Concurrently, the PTZ camera classifies the objects in detail by using HOG (Histogram of Oriented Gradients)+SVM (Support Vector Machine) pair. The object types we worked on are pedestrian, motorcycle, car and van. In the experiments, we compared the classification accuracy of omnidirectional camera, PTZ camera and hybrid system. Aiming high resolution tracking, the PTZ camera tracks the objects belonging to the user defined class and detected by using the omnidirectional camera.
Yazar Ek Girişi:
Tek Biçim Eser Adı:
Thesis (Master)--İzmir Institute of Technology: Computer Engineering.

İzmir Institute of Technology: Computer Engineering--Thesis (Master).
Elektronik Erişim:
Access to Electronic Versiyon.


Materyal Türü
Demirbaş Numarası
Yer Numarası
Durumu/İade Tarihi
Tez T001465 TK7882.P3 B25 2016

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