We discuss unsupervised domain adaptation for object detection by controlling domain information. To reduce the performance degradation by domain gaps between the source domain and target domain, we propose methods transferring domain information between two domains and expanding or shrinking data distribution in each domain. Through experiments, we verify that the proposed methods reduce the domain gap and improve the detection accuracy.