1. Tian, Y., Lu, M., Hampapur, A.: Robust and efficient foreground analysis for real-time video surveillance. In: Proceedings of IEEE Computer Society Conference Computer Vision Pattern Recognition, vol. 1, pp. 1182–1187, Jun (2005)
2. Collins, R., Lipton, A., Kanade, T., Fujiyoshi, H., Duggins, D., Tsin, Y., Tolliver, D., Enomoto, N., Hasegawa, O., Burt, P., Wixson, L.: Asystem for video surveillance and monitoring. Robotics Institute, Carnegie Mellon Univ., Pittsburgh, PA, VSAM Final Rep. CMU-RI-TR-00-12, May (2000)
3. Stauffer, C., Grimson, W.: Learning patterns of activity using realtime tracking. IEEE Trans. Pattern Anal. Mach. Intell. 22(8), 747–757 (2000)
4. Sun, L., Klank, U., Beetz, M.: EYEWATCHME: 3-D hand and object tracking for inside out activity analysis. In: Proceedings of IEEE Computer Society Conference CVPR Workshops, pp. 9–16, Jun (2009)
5. Moeslund, T., Granum, E.: A survey of computer vision-based human motion capture. Comput. Vis. Image Underst. 81(3), 231–268 (2001)