Real-Time Chromakey Matting Using Image Statistics

Given a video signal, we generate an alpha matte based on the chromakey information. The computation is done in interactive-time using pixel shaders. To accomplish this, we use Principle Components Analysis to generate a linear transformation matrix where the resulting color triplets Euclidean distance is directly related to the probability that the color exists in the chromakey spectrum. The result of this process is a trimap of the video signals opacity. To solve the alpha matte from the trimap, we minimize an energy function constrained by the trimap with gradient descent. This energy function is based on the least-squared error of overlapping neighborhoods around each pixel and is independent of the background or foreground color

Detecting moving objects from omnidirectional dynamic images based on adaptive background subtraction

ICIP 2003 : International Conference on Image Processing , Sep 14-17, 2003 , Barcelona, SpainThis paper describes a new method for detecting moving objects with an omnidirectional camera. The proposed method uses a fixed omnidirectional camera which can acquire images surrounding the camera and a background subtraction technique based on adaptively updating background images. In subtracting the background image from the input image, we consider the oscillation of intensity so that the proposed method can robustly detect moving objects under the condition that there are fluorescent lights and incoming lights from windows. In experiments, moving objects have been successfully detected in indoor environments

Detecting moving objects with an omnidirectional camera and subtraction whose background image is renewed

MVA 2002 : IAPR Workshop on Machine Vision Applications , Dec 11-13, 2002 , Nara, JapanWhen we use a PTZ camera and background subtraction to detect moving objects, we must synchronize the PTZ of the camera and the PTZ of the background image. This proposed method uses a fixed omnidirectional camera which can acquire images surrounding the camera, and background subtraction based on updating background image. When we subtract the background image from the input image, we consider oscillation of intensity. Therefore, the proposed method can robustly detect moving objects under the condition that there were fluorescent lights and windows which outside light came into. In the experiment, the system can detect moving objects and show the images of the objects in the room

Detecting Moving Objects with an Omnidirectional Camera Based on Adaptive Background Subtraction

SCIA 2003 : 13th Scandinavian Conference on Image Analysis , Jun 29-Jul 2, 2003 , Halmstad, SwedenThis paper describes a new method for detecting moving objects with an omnidirectional camera. The proposed method uses a fixed omnidirectional camera which can acquire images surrounding the camera and a background subtraction technique based on adaptively updating background images. In subtracting the background image from the input image, we consider the oscillation of intensity so that the proposed method can robustly detect moving objects under the condition that there are fluorescent lights and incoming lights from windows. In experiments, moving objects have been successfully detected in indoor environments