350 rub
Journal Achievements of Modern Radioelectronics №6 for 2012 г.
Article in number:
Use of depth map for tracking of moving objects
Keywords: video tracking object tracking depthmap video analysis CAMShift
Authors:
V.A. Franc, V.V. Voronin, A.V. Fisunov
Abstract:
This article describes the formulation of the problem of tracking moving objects in video sequences. The relevance of developing methods for tracking information using the depth map was shown. It is shown that the depth map can be used with existing algorithms, such as CAMShift. It is shown that in some cases, this approach may be more effective than approaches based on analysis of color images.
Pages: 57-61
References
  1. Szeliski,R.,Computer Vision. Algorithms and Applications. Washington, Springer. 2011
  2. Bar-Shalom, Y., Fortmann, T. E., Tracking and Data Association. New York. Academic Press. 1988.
  3. Maggio, E., Cavallaro, A., Video tracking. Theory and practice. Wiley. 2011.
  4. Shi, J., Tomasi, C., Good features to track. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. Seattle. USA. 1994. Р. 593-600.
  5. Comaniciu, D., Ramesh, V., Meer, P., Kernel-based object tracking // IEEE Transaction on Pattern Analysis and Machine Intelligence. 2003. № 25(5). Р. 564-577.
  6. Cavallaro, A., Steiger, O., Ebrahimi, T.,Tracking video objects in cluttered background // IEEE Transactions on Circuits and Systems for Video Technology. 2005. № 15(4). Р. 575-584.
  7. Bradsky, G., Kaehler, A., Learning OpenCV. O'Relly. 2008.