Computer Vision Research

My research interests consist mainly in the detection of moving objects in challenging surface, air and space environments. Sensors used are either passive sensors (i.e cameras)  or  active sensors (i.e radars) providing data images. More specifically, passive sensors are cameras in visible spectrum, IR cameras, multi-spectral cameras, hyper-spectral cameras, light-field cameras and event cameras. Active sensors are SAR, PolSAR, and LiDAR.

For detection of moving foreground objects in surface and air environments, my research focus on background subtraction (Background Subtraction Research). In this research, I investigated particularly the application of different mathematical concepts (statistical, fuzzy and Dempster-Schafer theories), machine learning concepts (reconstructive and discriminative subspace learning models, robust PCA and deep neural networks), and signal processing concepts (Graph Signal Processing) in the field of video surveillance.

In summary, my interests concerns background subtraction, robust features and target detection.

In addition, I group all the papers in the field of Moving Objects Detection (MOD) from videos taken by a static or a moving sensors at  Moving Object Detection Website.