Biometrics has become more and more important in security applications. In comparison with many other biometric features, iris recognition has very high recognition accuracy. Succ...
Sociobiologists collect huge volumes of video to study animal behavior (our collaborators work with 30,000 hours of video). The scale of these datasets demands the development of ...
Aniruddha Kembhavi, Ryan Farrell, Yuancheng Luo, D...
In the traditional mixture of Gaussians background model, the generating process of each pixel is modeled as a mixture of Gaussians over color. Unfortunately, this model performs ...
In this paper, we tackle robust human pose recognition using unlabelled markers obtained from an optical marker-based motion capture system. A coarse-to-fine fast pose matching al...
We present a novel panoramic imaging system which uses a curved mirror as a simple optical attachment to a fisheye lens. When compared to existing panoramic cameras, our “cata-...
Visual object tracking can be considered as a figure-ground classification task. In this paper, different features are used to generate a set of likelihood maps for each pixel i...
Ear detection from a profile face image is an important step in many applications including biometric recognition. But accurate and rapid detection of the ear for real-time appli...
Syed M. S. Islam, Mohammed Bennamoun, Rowan Davies
We consider the problem of estimating the pose of a human figure in a single image. Our method uses an exemplarmatching framework, where a test image is matched to a database of ...
deliver objects, handle emergency, wherever he/she is inside the home. In addition, the burden of processing We address issues dealing with distributed visual power can be distribu...