The ultimative objective of this thesis is to tackle the lack of CNN-based detectors specialiazed on fisheye images. Thereby experiments are required, therefore we will compare the performance of several state-of-the-arts and optimize one of them. Along the way we construct a new object detection framework to perform our experiments as convenient as possible. Generally the entire work done in this thesis can be divided into two main parts as follows:

• Optimization of CNN-based detector for fisheye images.
• Construction of an object detection framework.