266 search results - page 1 / 54 » Object Classification in Visual Surveillance Using Adaboost |
CVPR
2007
IEEE
13 years 8 months ago
2007
IEEE
In this paper, we present a method of object classification within the context of Visual Surveillance. Our goal is the classification of tracked objects into one of the two classe...
ICPR
2006
IEEE
14 years 5 months ago
2006
IEEE
Feature-based object classification, which distinguish a moving object to human or vehicle, is important in visual surveillance. In order to improve classification performance, in...
ICIP
2008
IEEE
14 years 6 months ago
2008
IEEE
People re-detection aims at performing re-identification of people who leave the scene and reappear after some time. This is an important problem especially in video surveillance ...
CVPR
2009
IEEE
13 years 8 months ago
2009
IEEE
Face detection plays an important role in many vision applications. Since Viola and Jones [1] proposed the first real-time AdaBoost based object detection system, much effort has ...
3DIM
2007
IEEE
13 years 8 months ago
2007
IEEE
We use the AdaBoost algorithm to classify 3D aerial lidar scattered height data into four categories: road, grass, buildings, and trees. To do so we use five features: height, hei...