Lectures:
* Introduction to actual topics in image analysis.
* Image-based driver behavior recognition.
* Analysis of objects in vehicle surroundings, the detection of vehicles, pedestrians, traffic signs, traffic lights.
* Analysis of data gained from the self-driving car sensors.
* Detection and recognition of 3D objects and its application in augmented reality
* Depth data gathering and analysis.
* Object detection in aerial and satellite images, buildings detection, parking lot analysis, smart cities.
* Image-based people identification, biometry.
* Image and video editing with a goal to fake reality, actual and future trends in artificial intelligence in image processing.
Exercises:
* Introduction to the image processing libraries.
* Practice the methods for image-based driver behavior recognition.
* Experiments with the methods for analysis of objects in vehicle surroundings.
* Introduction to the processing of car sensor data.
* Practice the methods for 3D object recognition.
* Experiments with the depth data.
* Experiments with the methods for the parking lot and satellite image analysis.
* Study of recognition techniques for image-based people identification.
* Experiments with image and video editing with a goal to fake reality, introduction to the new trends in artificial intelligence in image processing.
* Introduction to actual topics in image analysis.
* Image-based driver behavior recognition.
* Analysis of objects in vehicle surroundings, the detection of vehicles, pedestrians, traffic signs, traffic lights.
* Analysis of data gained from the self-driving car sensors.
* Detection and recognition of 3D objects and its application in augmented reality
* Depth data gathering and analysis.
* Object detection in aerial and satellite images, buildings detection, parking lot analysis, smart cities.
* Image-based people identification, biometry.
* Image and video editing with a goal to fake reality, actual and future trends in artificial intelligence in image processing.
Exercises:
* Introduction to the image processing libraries.
* Practice the methods for image-based driver behavior recognition.
* Experiments with the methods for analysis of objects in vehicle surroundings.
* Introduction to the processing of car sensor data.
* Practice the methods for 3D object recognition.
* Experiments with the depth data.
* Experiments with the methods for the parking lot and satellite image analysis.
* Study of recognition techniques for image-based people identification.
* Experiments with image and video editing with a goal to fake reality, introduction to the new trends in artificial intelligence in image processing.