Human Motion Tracking Based on B-Spline Snake Algorithm

Abstract:

A new method for tracking of moving human objects is presented. The developed algorithm is based on B-spline Snake model. The Snake algorithm accesses the object contour through minimizing the energy; the object contour in each frame is presented through three B-spline curve. This approach gets the change image with double thresholds image segmentation between the neighboring frames, it could detect moving human objects with high quality and locate objects approximately. The contour extracts from the last frame put at the approximate position as the B-spline Snake model initialization. It accomplishes the tracking of moving human objects.

• Periodical: Advanced Materials Research (Volumes 706-708)
• Pages: 1886-1889
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.706-708.1886
• Online since: June 2013
• Authors: Qun Long Wang
• Keywords: B-Spline Curve, Human Motion Tracking, Object Abstraction, Snake Algorithm

References

[1] Huttenlocher D.P.: Comparing images using the Hausdorff distance. IEEE Trans. Pattern Anal. Machine Intel. Vol. 15(1993), pp.850-863.

DOI: 10.1109/34.232073

[2] Yao Y S, Chllappa R.: Tracking a dynamic set of feature points. IEEE Trans. Image Process Vol. 4(1995), pp.1382-1395.

DOI: 10.1109/83.465103

[3] Comanlcu D, Ramesh V, Meer P.: Kernel-based object tracking. IEEE Trans. Patter. Anal. Machin. Intellig. Vol 25(2003), pp.564-577.

DOI: 10.1109/tpami.2003.1195991