Segmentation is the process of partitioning an image into regions under certain rules. One implementation is to separate human objects that appear in a sequence of images (video) from the background. The goal is to find humans and segment them out in real-time, fully automatic (with no user input), and the result is produced immediately after a new image is captured. Once the segmentation process is started, the method is constantly learning (or updating) the decision rule for segmenting out human objects from the background by itself. Moving object detection by a Kalman filter-based approach roughly detects the region where moving objects are present.
展开▼
