Height estimation algorithm based on visual multi-object tracking

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. ©, 2015, Chinese Institute of Electronics. All right reserved.