In this paper

we propose a height estimation algorithm based on visual multi-object tracking.Firstly

the foreground is detected by using codebook modeling algorithm

and multi-object tracking is performed by using graph cuts.Then

the head feature points and the feet feature points of objects are extracted in each frame

and the height of every object is computed according to projective geometry constraint.Finally

data optimization is performed by fusing multi-frame measurement results.This method does not require full camera calibration

but require computing the vanishing point of camera and the vanishing line of ground.Using this method

the computational complexity can be reduced.The experimental results demonstrate that our method has higher measurement accuracy

and is robust to occlusion and the changing of motion state.Meanwhile

it can also achieve real-time performance.