HOPKINS 155 DATASET
DESCRIPTION AND PURPOSE
The Hopkins 155 Dataset has been created with the goal of providing an extensive benchmark for testing feature based
motion segmentation algorithms. It contains video sequences along with the features
extracted and tracked in all the frames. The ground-truth segmentation is also provided for comparison purposes. The data is stored in the .MAT file format.
Our dataset contains sequences with two and three motions. The sequences can be roughly divided into three categories:
- Checkerboard sequences: this category consists of 104 sequences of
indoor scenes taken with a handheld camera under controlled
conditions. The checkerboard pattern on the objects is used to assure
a large number of tracked points.
- Traffic sequences: this category consists of 38 sequences of outdoor
traffic scenes taken by a moving handheld camera.
- Other (Articulated/non-rigid sequences): this category contains 13 sequences
displaying motions constrained by joints, head and face motions,
people walking, etc.
The following table presents some information about the dataset: the number of sequences,
the average number of tracked features and the average number of frames for each one of the
categories aformentioned, distinguishing also between sequences with two and three motions.
|2 Motions||3 Motions|
|# Seq.||Points||Frames||# Seq.||Points||Frames|
|Some samples from the Hopkins 155 dataset|
Hopkins 155+16: Additional sequences for multi-view multi-body motion segmentation
We provide 16 additional sequences that contain missing data or both missing data and outliers and more than three motions. These sequences have the same format and complement the standard Hopkins 155 dataset. We call the aggregated dataset Hopkins 155+16. These sequences can be downloaded from the Download section below.
|Some samples from the Hopkins 155 additional sequences|
We collected the results obtained on the Hopkins 155 dataset by various motion segmentation algorithm presented in the literature. Please see the corresponding section in the Motion Segmentation research page
To download the Hopkins 155+16 dataset, please refer to the Data page.
To download our MATLAB implementation of some motion segmentation algorithms (GPCA, LSA, RANSAC), please refer to the Code page.
Code is available online for some of the motion segmentation algorithms.
IEEE International Conference on Computer Vision and Pattern Recognition, June 2007.