The complexity of environment, such as illumination variety, background changing, shadow, occlusions, makes object tracking a challenge problem. In this thesis, we focus on the human tracking in indoor, discuss the algorithm of moving object tracking, and deal implicitly with shadow and occlusions, which is able to correctly remove the shadow and label people during occlusions.
In the phase of object detection, we establish an adaptive Gaussian model for background, which can handle the ...