We are a group of academic image processing experts developing own theory and methods with industry applications.
We focus on visual tracking in night-recorded movies, propose our pattern tracking mechanism based on F-transform, and implement a user-friendly software to handle the movies.
We present a cascade of filters based on a fuzzy representation of images. This representation captures the uncertainty underlying in the intensity of a pixel by means of a fuzzy set. Our approach provides similar results as standard ones with a significant reduction of the computational time.
The work is based on our pattern matching algorithm using F-transform and shows how an arbitrary pattern can be detected in a movie in real-time using low-powered hardware.
We extend abilities of the Parrot Bebop 2 drone equipped with a front camera by an object tracking application. The drone streams video into a mobile phone where the proposed application processes the movie, tracks the object and automatically controls the drone movement.
By a car license plate recognition, we mean a software system processing images and providing an alphanumeric transcription of car plates included in an image. We divide the task into four sub-tasks: license plate localization, license plate extraction, characters segmentation and characters recognition. The build of the application has been given to your commerce partner under exclusive license. If you are interested in the software download, contact, please, rector's office.
We propose a new hybrid image compression algorithm which combines the F-transform and JPEG. We show the hybrid algorithm achieves significantly higher decompressed image quality than pure JPEG.