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Perceiving Systems
PS:License 1.0
Middlebury Optical Flow Dataset and Benchmark
The Middlebury flow dataset has been a de-facto standard in the field since 2007. The dataset introduced several innovations. It is the first dataset to contain real image sequences with independent motions, and ground truth optical flow. Second, it provides realistically rendered synthetic scenes with ground truth flow. It also includes a frame interpolation task using real video sequences. While, by today's standards, the dataset is small and the sequences somewhat simple, it remains a useful tool for evaluating the generality of optical flow methods.
Perceiving Systems
PS:License 1.0
HumanEva datasets I and II
HumanEva: Synchronized video and motion capture dataset and baseline algorithm for evaluation of articulated human motion. This is the repository for the widely use HumanEva dataset. This was the first dataset to include mutii-camera video capture of people with ground truth 3D human pose. It established the quantitative evaluation of human pose estimation using well-defined metrics in 2D and 3D. The dataset was developed at Brown University and is hosted by MPI.
Perceiving Systems
PS:License 1.0
Archival Image sequences
This is a collection of images sequences used in the 1990's and early 2000's. It includes the Yosemite sequences, Flower garden, and several others.
Perceiving Systems
PS:License 1.0
Robust dense optical flow estimation
This is the original C implementation of the "Black and Anandan" optical flow algorithm.
For a Matlab version that is written by Deqing Sun and much better see: https://deqings.github.io/public_files/ba.zip
Perceiving Systems
PS:License 1.0
Robust area-based optical flow estimation
This is the original C version of the robust area-based flow code from Michael Black's thesis.
