Hazim Kemal Ekenel

TL;DR: The main achievements and lessons learnt in the CHIL project in the areas of person tracking, person identification and head pose estimation are summarized, all of which are critical perception components in order to build perceptive smart environments.

TL;DR: Magic Mirror is a face swapping tool that replaces the user's face with a selected famous person's face in the database via a user interface which enables the selection of the replacement face and directly reflects the changed appearance.

TL;DR: An appearance-based multimodal gesture recognition framework, which combines the different groups of features such as facial expression features and hand motion features which are extracted from image frames captured by a single web camera is presented.

TL;DR: The 2019 Unconstrained Ear Recognition Challenge (UERC) as discussed by the authors was the second in a series of group benchmarking efforts centered around the problem of person recognition from ear images captured in uncontrolled settings, with the goal of assessing the performance of existing ear recognition techniques on a challenging large-scale ear dataset and to analyze performance of the technology from various viewpoints, such as generalization abilities to unseen data characteristics, sensitivity to rotations, occlusions and image resolution and performance bias on sub-groups of subjects, selected based on demographic criteria, i.e.

TL;DR: This article presented the results of their content-based video genre classication system on the 2012 MediaEval Tagging Task and used several low-level visual cues to achieve this task.