Video Clips and Downloads - Aerodynamic Decelerator Systems Laboratory

Video Clips and Downloads

The video clips below represent tracking the same test article by four different cameras with the 60鈥� focal length

Scoring Fig O KTM 1-60 (44.0 Mb, 2 min 55 sec)
KTM 2-60 (32.2 Mb, 2 min 08 sec)
KTM 3-60 (42.9 Mb, 2 min 51 sec)
KTM 4-60 (43.6 Mb, 2 min 55 sec)

Just to compare the quality, the same video data are also available with the 15鈥� focal length

KTM 1-15 (44.4 Mb, 2 min 57 sec)
KTM 2-15 (44.5 Mb, 2 min 57 sec)
KTM 3-15 (44.3 Mb, 2 min 57 sec)
KTM 4-15 (44.5 Mb, 2 min 57 sec)

Scoring Fig J This zip archive contains the sequence of the frames taken during one of the real airdrops (shown on the left and in Fig.J in the Attitude Estimation section above). If you are an expert in computer vision / image recognition, you are welcome to test your algorithms on these images in attempt to estimate the change of payload鈥檚 attitude (three Euler angles) versus time.

You are also welcome to use the above video clips for the very same purpose.

Video Scoring Publications

Publications

In addition to the papers on the video scoring, written by the 51福利 faculty and listed on the below you will find some more papers written by others and related to different pieces of software used/tested within this project

Lagarias, J.C., Reeds, J.A., Wright M.H., and Wright, P.E., 鈥�Convergence Properties of the Nelder-Mead Simplex Method in Low Dimensions,鈥漇IAM Journal of Optimization, vol.9, no.1, 1998, pp.112-147.
David, P., DeMenthon, D., Duraiswami, R., Samet, H., 鈥�SoftPOSIT: Simultaneous Pose and Correspondence Determination,鈥� International Journal of Computer Vision, vol.59, no.3, 2004, pp.259-284.
DeMenthon, D., Davis, L.S., 鈥�Model-Based Object Pose in 25 Lines of Code,鈥� International Journal of Computer Vision, vol.15, no.1-2, 1995, pp.123-141.
DeMenthon, D., Davis, L.S., 鈥�Recognition and Tracking of 3D Objects by 1D Search,鈥� Proceedings of the DARPA Image Understanding Workshop, Washington, DC, 1993, pp.653-659.
Mikolajczyk, K., and Schmid, C., 鈥�A Performance Evaluation of Local Descriptors,鈥� Transactions on Pattern Analysis and Machine Intelligence, vol.27, no.10, 2005, pp.1615鈥�1630
Lowe, D.G., 鈥淒istinctive Image Features from Scale-Invariant Keypoints,鈥� International Journal of Computer Vision, vol.60, no.2, 2004, pp.91-110.
Lowe, D.G., 鈥�Local Feature View Clustering for 3D Object Recognition,鈥� Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, Kauai, Hawaii, December 2001, pp.682-688.
Lowe, D.G., 鈥�Object Recognition from Local Scale-Invariant Features,鈥� Proceedings of the International Conference on Computer Vision, Corfu, Greece, September, 21-22, 1999, pp.1150-1157.
Lowe, D.G., 鈥�Fitting Parameterized Three-Dimensional Models to Images,鈥� IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.13, no.5, 1991, pp.441鈥�450.