In this paper, we aim to detect human in video over large viewpoint changes which is very challenging due to the diversity of human appearance and motion from a wide spread of view...
Multi-view face detection plays an important role in many applications. This paper presents a statistical learning method to extract features and construct classifiers for multi-...
The task of registering video frames with a static model is a common problem in many computer vision domains. The standard approach to registration involves finding point correspo...
The majority of existing pedestrian trackers concentrate on maintaining the identities of targets, however systems for remote biometric analysis or activity recognition in surveill...
This paper presents an objective metric for the perceived quality of low bit rate compressed video. Frames are decomposed into several frequency bands at multiple scales and a mot...