Repozytorium publikacji - Politechnika Gdańska

In this work we focus on nighttime vehicle detection for intelligent traffic monitoring from the thermal camera. To train a Convolutional Neural Network (CNN) detector we create a stylized version of COCO (Common Objects in Context) dataset using Style Transfer technique that imitates images obtained from thermal cameras. This new dataset is further used for fine-tuning of the model and as a result detection accuracy on images from thermal cameras has significantly improved. As a side effect, we noticed that Style Transfer can be also used to improve detection accuracy from standard RGB camera, which has potential for various applications.

Autorzy

• dr inż. Sebastian Cygert link otwiera się w nowej karcie ,
• prof. dr hab. inż. Andrzej Czyżewski link otwiera się w nowej karcie