Visual 3D Tracking of Multiple Objects

If two cameras are employed to estimate the trajectories of identical appearing objects, calculating stereo and temporal correspondences leads to an NP-hard assignment problem. Currently, there are two different types of approaches discussed in the literature: probabilistic approaches and global correspondence selection approaches. Both have advantages and limitations in terms of accuracy and complexity. 

© Benjamin Risse


 Results are published in:

  • Tao, J., Risse, B., & Jiang, X. (2014). Stereo and Motion Based 3D High Density Object Tracking. Image and Video Technology, 8333(Chapter 12)
  • Risse, B., Berh, D., Tao, J., Jiang, X., Klette, R., & Klämbt, C. (2013). Comparison of two 3D tracking paradigms for freely flying insects. EURASIP Journal on Image and Video Processing, 2013(1), 57.
  • Tao, J., Risse, B., Jiang, X., & Klette, R. (2012). 3D Trajectory Estimation of Simulated Fruit Flies. In Proc 27th IVCNZ, Dunedin