Accurate and robust tracking of humans is of growing interest in the image processing and computer vision communities. The ability of a vision system to track the subjects and acc...
In this paper, a novel personalized feature combination scheme is proposed for face verification. ANFIS (Adaptive Neuro-Fuzzy Inference System) and SVM (Support Vector Machine) ar...
We present a fast algorithm for face detection and precise pose estimation. Our detection scheme is based on a tree-structured hierarchy of face vs. background classifiers combine...
Humans are articulated objects composed of non-rigid parts. We are interested in detecting and tracking human motions over various periods of time. In this paper we describe a met...
When more than a single classifier has been trained for the same recognition problem the question arises how this set of classifiers may be combined into a final decision rule. Se...
We present an approach for recognizing human walking movements using low-level motion regularities and constraints. Biomechanical features for classification are automatically ext...
We address the problem of detecting human violence in video, such as fist fighting, kicking, hitting with objects, etc. To detect violence we rely on motion trajectory information...