The goal of this bachelor project is to familiarize students with basic problems related to the surveillance of traffic-scenes. Within the project, participants will be implementing different surveillance-related tasks, such as speeding detection or traffic jam detection and prediction.
Thereby, students will get in touch with the OpenCV library that implements a broad range of computer vision algorithms, most notably neural networks, feature-matching and image manipulation.
Participants in this course are expected to be highly motivated and must have a solid understanding of one programming language, knowledge of programming in Java, Python or C++ are of advantage.
- verantwortliche Lehrperson: Peter Roch
- verantwortliche Lehrperson: Elke Schulte-Lippern
- verantwortliche Lehrperson: Bijan Shahbaz Nejad