TY  - JOUR
AB  - In this paper, we discuss and compare state-of-the-art 3D tracking paradigms for flying insects such as Drosophila melanogaster. If two cameras are employed to estimate the trajectories of these 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. Here, we present algorithms for both paradigms. The probabilistic approach utilizes the Kalman filter for temporal tracking. The correspondence selection approach calculates the trajectories based on an overall cost function. Limitations of both approaches are addressed by integrating a third camera to verify consistency of the stereo pairings and to reduce the complexity of the global selection. Furthermore, a novel greedy optimization scheme is introduced for the correspondence selection approach. We compare both paradigms based on synthetic data with ground truth availability. Results show that the global selection is more accurate, while the previously proposed tracking-by-matching (probabilistic) approach is causal and feasible for longer tracking periods and very high target densities. We further demonstrate that our extended global selection scheme outperforms current correspondence selection approaches in tracking accuracy and tracking time.
AU  - Risse, Benjamin
AU  - Berh, Dimitri
AU  - Tao, Junli
AU  - Jiang, Xiaoyi
AU  - Xiaoyi, Jiang
AU  - Jiang Xiaoyi
AU  - Klette, Reinhard
AU  - Klette, R.
AU  - Klette, R.
AU  - Klämbt, Christian
DA  - 2013-10-31
DO  - 10.1186/1687-5281-2013-57
KW  - Drosophila melanogaster
KW  - Fruit flies
KW  - 3D tracking
KW  - Unscented Kalman filter
KW  - Global correspondence selection
KW  - Gibbs sampling
KW  - Greedy optimization
LA  - eng
N1  - Finanziert durch den Open-Access-Publikationsfonds 2013/2014 der Deutschen Forschungsgemeinschaft (DFG) und der Westfälischen Wilhelms-Universität Münster (WWU Münster).
N1  - EURASIP Journal on Image and Video Processing (2013) 57
PY  - 2013-10-31
TI  - Comparison of two 3D tracking paradigms for freely flying insects
UR  - https://nbn-resolving.org/urn:nbn:de:hbz:6-84309622905
Y2  - 2024-11-25T03:43:14
ER  -