This paper describes a face detection approach via learning local features. The key idea is that local features, being manifested by a collection of pixels in a local region, are ...
Xiangrong Chen, Lie Gu, Stan Z. Li, HongJiang Zhan...
A completely automatic face recognition system is presented. The method works on color face images and localizes the face region from them initially. It then determines and select...
We present a distributed vision-based surveillance system. The system acquires and processes grey level images through one or multiple Camera Units monitoring certain area(s) via ...
Xiaojing Yuan, Zehang Sun, Yaakov L. Varol, George...
A new, combined human activity detection method is proposed. Our method is based on Efros et al.'s motion descriptors[2] and Ke et al.'s event detectors[3]. Since both m...
Josef Kittler, Seiji Ishikawa, Takehito Ogata, Wil...
Abstract. This paper presents an integrated approach for robustly locating facial landmark for drivers. In the first step a cascade of probability learners is used to detect the f...